AI/ML Engineer Jobs

This is one of the world’s leading algorithmic trading firms, and they recognise what keeps them at the top of their game is the strength of their engineers and the critical code they write. As they scale out their compute environment, you could be one of them!

This role offers the opportunity for outstanding C++ developers with GPU expertise to join a small, brand-new team responsible for building the underlying infrastructure of their GPU-based inference engine. You’ll thrive in the highly collaborative environment where you’ll be empowered to make significant contributions, seeing the impact of your work daily.

This position would be perfect for someone who enjoys solving complex challenges in a fast-paced, competitive industry, surrounded by some of the brightest minds in the field.

Skills & Experience Required

Advanced C++ programming skills with GPU expertise is essential
Substantial GPU optimization, CUDA / GPGPU (not just GPU) experience in a professional work environment is required
Fantastic grasp of computer science fundamentals
Bachelor’s degree in Computer Science, Engineering (or related field) from a top-tier university

Profile

Currently one of the top devs in your firm, in terms of productivity, technical capability and helpfulness to other devs
Adept communicator and problem-solver; comfortable describing software designs at all technical knowledge levels
Capable of independently solving complex engineering problems & knowledge-sharing with others in your area of expertise
Committed to continuous improvement, you’re always looking for ways to make systems better

NOT looking for

Overly specialized firmware developers
Vague integration work with existing GPU-enabled libraries
GPU designers - they want developers who program for them

Benefits

Market-leading salary + bonuses + generous benefits package
Truly flat management structure, with no red tape
Get stuck into interesting technical problems, with plenty of variety

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you’re a strong candidate for the role and would like further info, please contact:

Josh Williamson
josh.williamson@oxfordknight.co.uk
+44 (0)20 3475 5021
linkedin.com/in/josh-williamson-3745b7151

Quant Developer - Fixed Income (Risk)- Systematic Quant Fund

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.

Now looking for a Quant Developer to join the Risk team in London, responsible for designing and building tools to support risk analysis and reporting for the business. This is a pivotal role, collaborating daily with FI Risk Managers, Traders and Researchers to translate product-specific requirements into tailored solutions.

You’ll be expected to have extensive Fixed Income product knowledge as you’ll build tools to analyze large volumes of market and trade data across bonds, swaps, futures and options. A background in maths would be preferable.

Requirements

Deep-level knowledge of Fixed Income products and strong grasp of how risk measures apply to FI trading
5+ years’ development experience with strong coding skills (Python preferred)
Ability to capture trading and risk requirements and deliver solutions
Excellent communication skills to act as a bridge between technical and trading teams

Benefits

Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
Competitive salary + generous benefits
Professional and personal development
Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong match for this job description, please do not hesitate to get in touch!

Amy Gandhi
amy.gandhi@oxfordknight.co.uk
Tel: +44 (0) 203 475 5019
linkedin.com/in/amy-gandhi-122b55109

Research Physicist with Python - Freelance AI Trainer

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

Design original computational physics problems that simulate real physics research workflows;
Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
Base problems on real research challenges or practical applications from physics practice;
Verify solutions using Python with standard physics simulation libraries;
Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
2+ years of professional experience: applied, research, or teaching experience is applicable;
Experience with numerical simulation methods;
Ability to design problems that mirror real physics research workflows;
Creative thinking in problem design across diverse physics areas;
Familiarity with physics modeling and approximation techniques;
Strong written English (C1+).

How it works

Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

Project time expectations

For this project, tasks are estimated to require around 1020 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

AI Engineer- Tech-Driven Prop Trading

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk.

Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

Operating with respect, curiosity and open minds, the people who thrive here share the belief that it’s not just what you do that matters-it’s how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

Key Responsibilities:

Drive end-to-end development of AI infrastructure and AI-driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
Create and maintain feature pipelines, feature stores, and model stores.
Develop frameworks to enable scalable, reproducible research.
Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:

Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
3+ years of experience working with machine learning and artificial intelligence technology.
Strong understanding of core machine learning and artificial intelligence concepts.
Excellent programming skills in Python.
Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
Hands-on experience with MLOps and AIOps infrastructure and tooling.
Proficient in problem-solving and analytical reasoning.
Exceptional communication and collaboration skills.
Experience with ML frameworks, such as TensorFlow, PyTorch, TensorRT, or ONNX.
Experience with Large Language Models, including RAG and fine-tuning techniques.
Familiarity with compute infrastructure necessary to support operating AI and ML technology.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

Software Engineer - AI Automation | London- Global Prime Brokerage & Financing Platform

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class engineers to help build on their success.

In this role within the AI Automation team, you will design and deliver AI-driven automation solutions that streamline and enhance complex business processes across customer, operations, compliance, legal, finance, and other workflows. You’ll build scalable automation services to reduce manual effort, improve accuracy, and unlock new operational capabilities. This will involve partnering with engineering teams, and collaborating closely with product managers, technical program managers, and business architects.

This role offers meaningful ownership and business-wide impact. The successful AI Automation Engineer will have outstanding communication skills, with a cross-functional, collaborative mindset.

Skills & Experience Required

5+ years’ experience in software engineering, workflow automation, process automation, or applied AI
Strong proficiency in Python
Demonstrated experience delivering production-grade automation (not just prototypes or POCs), plus integration of AI/ML capabilities into real business workflows
Experience working with databases or data warehouses to support automation use cases
Experience integrating automation with collaboration and productivity platforms (e.g. messaging, knowledge management, ticketing/workflow tools)
Ability to design and implement context and data integrations through APIs, events, or protocols (including MCP where applicable)
Experience in fintech, capital markets, or digital asset platforms is a plus

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are suitable for this role, don’t hesitate to get in touch:

Jack Peck
[e] jack.peck@oxfordknight.co.uk
[t] +44 20 3745 6537
linkedin.com/in/jack-peck-448a70131/

C++ Quant Developer (Desk-Aligned)- Systematic Quant Fund

Looking for a C++ developer with financial services experience. You’ll join a trading desk where you’ll have a direct and immediate impact on the desk’s success. Working closely with traders and researchers, this role offers exposure to many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (terabytes of data per day), and analytics infrastructure (massive cloud computing)

The successful candidate will enjoy taking ownership of projects from initial idea through to completed solution. You can expect opportunities to solve hard technical challenges critical to the desk’s success.

Requirements

Strong academic background, ideally in Computer Science
Minimum 3+ years’ experience in a quant trading environment
Fantastic modern C++ skills that you are using currently (Python experience a big plus)
Good understanding of what is happening ‘under the hood’ - be it CPU, memory, OS, network, etc.
Outstanding communication skills suitable for a dynamic, fast-paced environment

Benefits

Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
Competitive salary + generous benefits
Professional and personal development
Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
To apply for this role, or for further information, please contact:

Alice Vincent
alice.vincent@oxfordknight.co.uk
linkedin.com/in/alice-vincent-176561272

Python Quantitative Researcher - London- Global Quant Firm

Salary: up to £200k base + bonus

Summary

Leading HFT fund looking for a self-driven quantitative researcher to join their centralised Latency team where you will draw on your problem-solving skills and data science/statistics experience to analyse billions of collected trading data points and unearth competitive edges.

This role offers the opportunity to develop both business and technical expertise; working closely with trading teams to perform post-trade statistical analysis and identify relationships between business metrics and changes on the infrastructure technology. You’ll also investigate and design data mining and machine learning algorithms.

Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. This role would suit a curious, highly collaborative researcher who has demonstrated the ability to independently drive projects to completion.

Requirements

Minimum 2+ years’ experience
Hands-on programming experience in Python with a focus on data science & analytics
Sound experience in Machine Learning and Statistics
Outstanding problem-solving capabilities
Bonus points for experience with C++, SQL and network protocols

NB: Please do not apply if you’re a fresh graduate.

Benefits

Competitive base salary & bonus
Enormous opportunity to grow, learn and have a significant business impact
Contributions are rewarded; career progression supported
Unique culture where you can fulfil your potential through collaboration and mutual respect

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you or you would like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

Lead Developer - London Stock Exchange Group

London Stock Exchange Group

Lead Java Developer

Business Unit: FTSE Russell - Index Platform
Company: London Stock Exchange Group (LSEG)

About the Role

We are seeking a highly skilled and hands - on Lead Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell’s global family of indexes and requires advanced engineering, high precision data processing, and deep collaboration across global teams.

This is a deeply technical role focused on designing, building, integrating, and operationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence in a high performance , data intensive environment.

Key Responsibilities

Core Engineering & Platform Delivery

Design, develop, and maintain complex Java and Python applications using modern engineering practices. Build / embed AI powered features into mission critical systems.
Architect and enhance services that support large scale , performance critical index computations.
Collaborate with Product Managers, UX, and engineering teams globally to deliver high quality products.
Lead projects end - to - end through requirements, design, development, testing, deployment, and operations.
Build and maintain automated test suites to ensure performance, scalability, and security.
Diagnose production issues, identify root causes, and deliver Level 3 support and fixes.
Conduct peer reviews, provide technical leadership, and mentor junior engineers.

Required Experience & Skills

12+ years of hands - on backend software engineering experience.
Support the organisation’s AI adoption journey . Develop and enhance intelligent solutions using LLMs, LangChain / LangGraph , and agentic AI frameworks.
Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites.
Strong algorithms, data structures, problem solving skills , and ability to translate business problems into scalable solutions.
Good command of coding standards and Strong understanding of both high level and low level software design
Expertise in:
Core Java , Python
Building highly distributed, data intensive systems
Microservices, REST APIs
RDBMS (Oracle/SQL Server/Postgres)
CI/CD tools (Jenkins/GitLab), DevOps automation
Docker, Kubernetes
JVM profiling & performance optimisation
Prior exposure to Level 3 production support.

Preferred / Nice-to-Have Skills

Experience leading or mentoring a team of engineers .
Experience within financial services or with financial market data.
Familiarity with in - memory caching, Spring Boot, Redis, Kafka.
Experience with BDD frameworks such as Cucumber, JBehave , or Karate.
Experience running Agile teams.

What We’re Looking For

A proactive , creative engineering leader who enjoys solving complex problems, working hands - on with modern technologies, and driving AI enabled innovation. If you’re passionate about building resilient, intelligent, data intensive systems that power global financial markets, we’d love to hear from you.

Benefits

We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!

We enhance each employee’s potential through personal development through a wide range of learning tools both formal and informal.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Quantitative Developer - London- Global Quant Firm

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player. This leading quant firm has a fantastic opportunity on their centralised trading team where you will draw on your quantitative problem-solving skills and advanced statistical techniques to build and enhance market prediction models.

They are ideally looking for a platform engineer who has built and improved quant infrastructure.

This role is perfect for an experienced developer who can pull together all of their previous skills and expertise to lead, architect and create a platform designed to be a critical tool for this team both now and for many years in the future.

Technology is viewed as a crucial component of their continued success. The successful quant developer will be a self-starter, thrive under pressure and excel when given ownership of projects and responsibilities. Work is varied; example projects include:

Investigate and design data mining and machine learning algorithms
Research modeling and forecasting future price actions
Develop and improve scalable quant research frameworks using Python and C++
Serve as an advisor across a the business, providing new and innovative solutions

Requirements

3 - 8 years’ solid dev experience (in financial markets would be ideal)
Strong C++, Python
Experience building and improving quant infrastructure would be ideal
Master’s or PhD in Mathematics, Statistics, Operations Research (or equivalent)

NB: Please do not apply if you are a fresh graduate.

Benefits

Competitive base salary & bonus
They’re willing to be flexible with WFH
Enormous opportunity to grow and have an impact
Contributions are rewarded; career progression supported
Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

C++ Software Engineer - Core Development- Global Quant Firm

Salary: up to £220k base + bonus

Summary

Leading global HFT firm is looking for a pragmatic C++ Engineer to join the Core Development team, a global group of technologists who architect, build and maintain the algorithmic trading platform.

As a C++ Engineer, you will design, build and test the infrastructure, tools and systems that drive trading and business needs. Working closely with traders, quant researchers and technologists across the firm, you’ll solve difficult technical problems ranging from CPU architecture & operating systems to networking & hardware.

Technology is prized by the traders as crucial to their continued success. This role would suit a strong problem-solver, who enjoys collaborating with others in a fast-paced and energetic environment.

Requirements

Minimum 4 years’ modern C++ programming experience on Linux
Solid understanding of computer systems (operating systems, networks, performance optimization, etc.)
Deep-level knowledge of OO design and multithreaded programming
Experience creating/supporting cross-platform multithreaded applications
Bachelor’s degree in Computer Science or Computer Engineering (or related)
Bonus points for low-latency development experience

NB: Please don’t apply if you’re a fresh graduate.

Benefits

Competitive base salary & bonus
Enormous opportunity to grow, learn and have a significant business impact
Contributions are rewarded; career progression supported
Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you would like to know more, please get in touch.

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

Quantitative Developer - C++- Leading Systematic Quant Fund

Responsibilities:

You will be working within a trading desk (in opposition to core roles), which means that your contribution will have a direct and immediate impact on the desk’s success
Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing)
Opportunities to solve hard technical challenges critical to the desk’s success

Skills & Experience Required:

Preferred industries for this role are: buyside finance, big tech, or gaming
Excellent knowledge and experience using modern C++
Good understanding of what is happening behind the abstractions - be it CPU, memory, OS, network
Ability and willingness to take full ownership of the work - taking projects all the way from an idea to a delivered solution
Good communication skills in a dynamic environment
Python highly desirable
2+ years of experience in a quantitative trading environment highly desirable

NB: A pplications only accepted from those located in the US or Europe

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like to know more, please get in touch!

Sam Jenkins
sam.jenkins@oxfordknight.co.uk
+44 (0 )20 7663 2734
linkedin.com/in/sam-jenkins-b517021b4

C++ Engineer- Global Proprietary Trading firm

Summary

Leading HFT fund looking for an expert C++ Engineer to join their core platform team, designing, developing and maintaining the algorithmic trading platform. Leadership experience is welcomed but not essential.

Developers here are highly valued and well-rewarded for hard work, and as a result, are some of the brightest minds from across the trading, tech and start-up industries. Working closely with hands-on Quants and Traders your primary focus will be C++ functionality, responsible for creating and optimizing scalable multi-tiered applications and infrastructure.

The successful C++ Engineer will love solving difficult technical problems and be comfortable with owning multiple projects simultaneously. You’ll be expected to have a strong understanding of computer systems, e.g. operating systems, networks, performance optimization, etc. If this sounds like you, apply now!

Requirements

Minimum 3+ years’ C++ programming skills on Linux
Solid experience in OO design and creating/supporting cross-platform multithreaded applications
Low latency systems development would be ideal
Bachelor’s degree in Computer Science/Engineering (or related field) - minimum 2.1 or 3.5 GPA
Outstanding communication skills across the business
Experience within the financial industry is advantageous but not essential

Benefits

Competitive base salary & bonus
Enormous opportunity to grow, learn and have an impact
Contributions are rewarded; career progression supported
Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are a good match, please don’t hesitate to get in touch:

Dan Hampton
dan.hampton@oxfordknight.co.uk
020 3475 7192
linkedin.com/in/dan-hampton-ab029392

Python Research Engineer- Sophisticated Prop Trading Firm

High-frequency prop trading firm with offices worldwide is looking to expand one of its trading teams in London with a talented Python Research Engineer.

In this role, you’ll collaborate with traders and researchers as you help architect and develop unified systems that enable strategies to be produced. You’ll reduce the time and cost required to conduct research, as well as enabling new research by designing flexible, efficient, scalable systems that the business can use easily.

Qualifications

Software development experience in Python, proficiency in C++ & Bash
Strong background in data structures, algorithms and OO programming
Experience with distributed systems, scientific computing and ML algorithms
Deep understanding of machine- and network-level details of computer hardware and OS
Solid troubleshooting and problem-solving abilities
Minimum bachelor’s degree in Computer Science (or related) from a top-tier university
Excellent communication skills and fluency in English
Financial experience is not required.

Benefits

Competitive salary and discretionary bonuses
Generous paid vacation allowance
Free breakfast, lunch, and snacks on a daily basis
Reimbursement for health & wellness expenses
Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you’re a good match, or would like further information, please contact:

Henry Abbot
henry.abbot@oxfordknight.co.uk
+44 (0)20 3475 7199
https://www.linkedin.com/in/henry-abbot-5b406912a/

Senior Quantitative Researcher - Macro - Man Group plc

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

About Man AHL:

Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets.

Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets.

The engine leverages Man Group’s unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing.

Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at .

The Team:

AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday.

Technology and Business Skills:

4+ years of experience researching and live trading alpha signals for futures and FX
Experience with intraday > monthly predictor design and analysis
Experience with portfolio construction, risk analysis
Strong understanding of transaction costs, and mitigation strategies
Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading

Personal Attributes:

Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university
Hands-on attitude; willing to get involved with technology and projects across the firm
Intellectually robust with a keenly analytic approach to problem solving
Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities
Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers
Confident communicator: able to argue a point concisely and deal positively with conflicting views

Working Here:

AHL fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors.

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Director, Engineering Excellence (AI Platforms) - Citi

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
The Role
We are seeking an experienced Senior Engineering Manager to lead the delivery of high-impact Engineering Excellence platforms, with a strong emphasis on Generative AI, modern engineering practices, and scalable software delivery. This role blends hands-on technical leadership with building and developing a high-performing engineering team across Belfast and Pune.

You will be responsible for setting the engineering direction across Citi’s Technology organization, contribute directly to solution design and delivery, and ensure that EE’s products meet the needs of engineers and senior technology stakeholders across the firm.

About Engineering Excellence (EE)
Engineering Excellence (EE) enables Citi engineers to do their best work by providing modern tools, platforms, and practices that enhance productivity, technical capability, and cross-team collaboration. EE partners closely with the CTO organization to deliver people-centric, high-impact engineering solutions that raise the overall technical bar across Citi.
Citi’s ability to deliver our full potential is dependent upon our people. EE exists to attract, develop, inspire, and retain technology talent who thrive in an inclusive and engaging culture. Our efforts focus on three core areas:

Boost engineer productivity
Engage, equip, and empower engineers with tools and resources to work more efficiently, innovate faster, and deliver impactful outcomes.

Empower engineers to advance their technical careers
Through the Engineering Excellence Talent Development Framework (E1-E4) and Tech Fellows, EE provides engineers with structured pathways to develop technical and non-technical skills, gain recognition for their contributions, and participate in a culture of continuous learning and collaboration.

Foster strategic collaboration
EE creates opportunities for engineers across Citi’s global technology organizations to connect, share knowledge, and contribute to strategic solutions that shape Citi’s future and collective success.

Key Responsibilities

Design and deliver EE’s core engineering platforms, including:
- AI Metrics Dashboard tracking adoption and value of AI tools
- CTO Tech Radar and its integration into Citi Assist
- Citi Tech Conference website and future EE web properties
- Additional EE applications aligned to strategic engineering uplift
Build and lead a high-performing engineering team (Belfast & Pune), hiring ~5 engineers across DevOps, UX, and full-stack development.
Provide technical leadership and hands-on architectural guidance across all EE initiatives.
Translate emerging AI and engineering practices into scalable, production-ready enterprise solutions, ensuring security, stability, and effective evaluation/guard-railing.
Collaborate with senior stakeholders (EMT-1/2) to understand strategic needs and deliver solutions that drive meaningful engineering outcomes.
Champion engineering excellence, ensuring high standards in quality, testing, reliability, and developer experience.

Required Experience & Skills

Engineering Lead or Software Engineering Manager experience delivering large-scale systems.
Proficiency in Python, Java, TypeScript/JavaScript, or Go.
Experience deploying LLM / GenAI systems to production with a focus on evaluation, safety, monitoring.
Strong background in distributed systems, microservices, SQL/NoSQL, and DevSecOps.
Experience with cloud platforms (AWS, GCP, Azure) and tooling (Docker, Kubernetes, Terraform, Helm).
Familiarity with frameworks such as Spring (AI/Boot/Core), Flask, LangChain, LangGraph, ADK, MLFlow, and orchestrators like N8N.
Experience with React and modern UI frameworks (Gradio, Streamlit).
Understanding of REST/WebSocket APIs, CI/CD pipelines, and messaging systems (Kafka, JMS/MQ).

Leadership & Delivery

Proven ability to build, coach, and scale engineering teams.
Strong communication and stakeholder management skills.
Ability to lead in evolving, fast-moving environments.
Collaborative mindset with strong problem-solving and decision-making skills.

Ideal Candidate Profile
You are a technically versatile engineering leader who stays hands-on while building exceptional teams. You can navigate ambiguity, communicate clearly, and translate complex technical concepts into actionable direction. You bring an inclusive leadership style, a passion for engineering quality, and the ability to drive meaningful improvements to how engineers work across Citi.

What we’ll provide you
By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Visit ourGlobal Benefitspage to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

C# Engineer - Man Group plc

About Man Group

* As at 31 December 2025

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking Software Engineers with deep expertise in C# and .NET to lead the design and development of mission-critical systems across our domain. You will play a key role in shaping technical strategy and driving architectural decisions within a high-performing team. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core financial and order management knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

Lead the end-to-end delivery of complex software solutions—from requirements gathering and architecture design to development, testing, and production deployments
Own and drive long-term technical initiatives and architectural improvements across systems
Collaborate closely with stakeholders to align technical solutions with business goals
Champion engineering best practices, including CI/CD, automated testing, and scalable design patterns
Conduct code reviews and provide technical guidance to peers and junior engineers
Proactively identify and reduce technical debt, improve system resilience, and optimize performance
Lead incident response and root cause analysis for production issues
Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Essential

5–7+ years of professional experience in software engineering with C# and .NET
Proven experience in architectural design, system scalability, and distributed systems
Strong knowledge of Microsoft SQL Server, including schema design, query optimization, and performance tuning
Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
Ability to balance delivery of business value with long-term technical strategy
Excellent communication and leadership skills, with the ability to influence and drive consensus
Strong advocate for collaborative development practices and continuous improvement

Advantageous

Experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)

Equal Employment Opportunity Policy

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Software Engineer - Python - London Stock Exchange Group

London Stock Exchange Group

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

ROLE SUMMARY:

You will join a team of Lead Software Engineers who design and develop high-impact, scalable solutions, working hands-on throughout the complete software lifecycle - from architecture to deployment.

They deliver high-quality code that aligns with business goals and productionizes AI solutions, and help establish and maintain software engineering standards.

They combine strategic thinking, strong problem-solving skills, and a collaborative approach to successfully ship efficient software.

What you’ll be doing:

Contribute to the design, architecture and development of scalable AI software solutions (Python), ensuring alignment with business objectives and technical standards.
Optimize development workflows and establish and apply coding standards and guidelines to maintain robust and clean code.
Work closely with data science and software engineering teams to define project requirements, set technical direction, and establish development roadmaps.

What you’ll bring:

Proficiency and professional experience in Python for backend development.
Extensive experience in software engineering with a focus on designing and delivering robust, scalable solutions.
Experience in establishing and upholding coding standards to ensure high-quality, maintainable code.
Effective teamwork skills and experience with working with multi-functional team

Bonus points:

Working knowledge of DevOps practices, including CI/CD pipelines, automated testing, and monitoring.
Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices.

What you’ll get in return:

High-impact projects: We work on a variety of core projects pioneering AI products and leveraging extensive datasets to solve high-value challenges.
Industry leadership: We deliver brand-new products that democratize modeling and analytics solutions.
Career progression: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence . Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Inside IR35 Contract - Up to £850 per day
3 Days per Week in London
6-Month Initial Contract (2 Years+ Project Scope)
Start Date : April 2026

We are working alongside a leading Commodities Trading Firm who are searching for a Senior Data Engineer to join the business. You’ll be building pipelines to support their trading and analytics platforms!

Project & Responsibilities

Design and develop scalable Python-based data pipelines using Dagster to ingest, transform and integrate datasets into the enterprise data platform.
Build ingestion frameworks to extract data from internal systems, trading platforms, APIs, and external providers, supporting both batch and real-time data flows .
Implement streaming data integrations using Apache Kafka to enable event-driven processing and near real-time analytics.
Land and manage curated datasets within AWS storage environments, ensuring data integrity, scalability and cost efficiency.
Apply strong data governance practices including validation, lineage tracking, schema consistency and secure access controls across the data platform.
Ensure production stability and operational reliability of data pipelines through monitoring, alerting, logging and proactive incident management.
Break down complex data integration initiatives into structured technical deliverables, defining implementation strategies and mitigating delivery risks.
Provide engineering leadership through code reviews, CI/CD best practices, mentoring engineers and promoting scalable, maintainable data platform solutions.

Technical Skill Set Required

Strong Python data engineering experience , including orchestration with Dagster , advanced SQL , and data modelling.
Experience building streaming and event-driven pipelines using Apache Kafka and integrating heterogeneous data sources.
Solid background operating cloud-native data platforms on Amazon Web Services , with CI/CD, version control and production operations experience.

Senior Product Manager for AI Observability - London Stock Exchange Group

London Stock Exchange Group

Role Profile

As part of the LSEG AI , we are hiring a Senior Product Manager - AI Observability to own the strategy, design and rollout of telemetry systems that m onitor , m easure and a nalyse how AI models, MCPs, and AI-enabled features behave across all LSEG products.

This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals-including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability.

You will develop a telemetry foundation that supports:

AI governance & risk
model performance tracking
cost efficiency
user experience optimisation
operational reliability
auditability
and the long-term evolution of our AI platform.

Key Responsibilities & Accountabilities

Telemetry & Observability Strategy

Define the end-to-end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI-powered user experiences.
Establish a standardised telemetry schema for capturing prompts, tool calls, model responses, durations, errors, confidence signals, and quality indicators across business lines.
Partner with platform engineering to ensure instrumentation is consistent, scalable and compliant.

Signal Design & Data Architecture

Identify key signals required for:
Quality & reliability
Latency & throughput
Cost tracking & optimisation
MCP usage patterns
User workflow insights
Failure pattern detection
Guardrail and safety event monitoring
Define retention rules, PII considerations, anonymisation and usage policies in partnership with AI Governance and Compliance.

Platform & Tooling

Own requirements for dashboards, monitoring tools, model comparison views, anomaly detection alerts, and performance scorecards.
Design systems that allow product and engineering teams to self-serve insights about AI model behavior and MCP interactions.
Partner with engineering to build pipelines that support real-time and batch analytics .

Cross-Functional Collaboration

Collaborate with product owners across LSEG to instrument their AI features consistently.
Partner with AI Evaluation PM ( previous role), Model Risk, GSSR, Legal and Compliance to align telemetry with governance frameworks.
Work closely with Engineering and SRE teams to drive observability improvements and reliability engineering for AI systems.

Optimisation & Insights

Identify cost inefficiencies across model and MCP usage, and drive recommendations to improve ROI.
Surface workflow-level insights on how customers use AI features-informing product roadmaps.
Partner with product leaders across divisions to understand how telemetry can improve customer experience, reliability and performance.

Governance & Standards

Define and maintain AI telemetry standards and best practices across all LSEG divisions.
Contribute to LSEG’s AI governance and Responsible AI initiatives by providing data-driven insights on model behavior and user impact.
Ensure telemetry systems support auditability, compliance and explainability requirements.

Skills & Competencies

Required

Experience in product management with a strong foundation in observability, telemetry, data platforms, monitoring, or SRE / DevOps-driven products .
Understanding of LLMs, embeddings, vector search, MCP tools , and AI inference workflows.
Deep familiarity with logging, tracing, metrics , and event-based telemetry systems.
Ability to define data schemas, signal taxonomies, aggregation strategies and data contracts.
Strong analytical skills and ability to derive insights from large-scale system telemetry.
Experience working with senior engineering, data science, risk and governance stakeholders.

Preferred

Exposure to financial data, analytics systems and enterprise-scale data workflows.
Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks.
Understanding of cloud infrastructure, serverless runtimes, API gateways and model hosting architectures.
Ability to drive cross-functional alignment and establish group-wide standards.

Measures of Success

Platform Reliability & Performance

Reduction in AI system error rates, latency spikes and operational incidents.
Stability and transparency of MCP usage across product lines.
Quality and coverage of telemetry signals across all AI-enabled products.

Insight Generation & Adoption

Adoption of telemetry dashboards and self-service tools across divisions.
Number of identified and resolved model or MCP reliability issues driven by telemetry.
Level of insight generated to influence product prioritisation and AI model choices.

Operational Efficiency & Cost

Improved cost transparency and cost-saving impact via telemetry-driven optimisation .
Reduction in unnecessary model invocation or inefficient tool usage.

Governance & Compliance

Contribution to Responsible AI frameworks through robust, auditable telemetry.
Improved explainability and traceability of AI features for internal/external stakeholders.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

C++ Algorithmic Quantitative Developer - eFinancialCareers

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves. The Role As a C++ Quantitative Developer, you will play a critical role in developing and optimising our trading strategies and systems, enabling exchange market making and algorithmic trading. You will work closely with our trading desks to implement and enhance execution algorithms and ensure efficient connectivity to exchanges. Key responsibilities include: 1. Mid/low latency C++ development for the exchange connectivity FIX/MultiCast 2. Development of algorithmic strategies and market-making strategies C++ execution algorithms for trading desks (TWAP/VWAP, elements of Market Making) 3. Time series analysis, Market research in C++ / Python What You’ll Bring 1. Strong C++ development skills (multithreading, inter-process communication, low latency, event-driven architecture design, modern C++ 20/23) 2. Develop and implement algo strategies in C++ 3. Experience in an algorithmic trading environment 4. Familiarity with FIX protocol and MultiCast 5. Experience with TWAP/VWAP algorithms 6. Python programming skills 7. Experience with Database connectivity (SQL, KDB) beneficial Benefits & perks 1. Competitive salary 2. Vitality health insurance and dental cover 3. 38 days of holiday (including bank holidays) 4. Pension scheme 5. Annual Bluecrest health checks 6. A personal learning & development budget of £5000 7. Free gym membership 8. Specsavers vouchers 9. Enhanced family leave 10. Cycle to Work scheme 11. Credited Deliveroo dinner account 12. Office massage therapy 13. Freshly served office breakfast twice a week 14. Fully stocked fridge and pantry 15. Social events and a games room Diversity matters We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact. Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process. We’re also proud to be certified a ‘Great Place to Work’. Read more about our culture and what our team says about us here.

Director, Data Science (AI) - London Stock Exchange Group

London Stock Exchange Group

Are you an expert Data Science leader with experience shipping real AI products to customers? Do you want to build innovative solutions for financial professionals with teams of brilliant, collaborative data scientists, software engineers, UX researchers and product managers? If so, we’d love to talk to you!

The London Stock Exchange Group (LSEG) is a global leader in financial market infrastructure, with a large and diverse portfolio of data, products and services. LSEG’s Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we’re also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets and APIs.

We’re looking for an exceptional leader to help build and scale an organization to deliver on this promise. You’ll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop - we ship real products - so we’re looking for someone who delights in the messiness of shipping AI-first products.

To be successful in this role, you will need outstanding communication skills, a demonstrated ability to influence company-wide leadership, indirect leadership experience, and deep technical depth. You will have a proven history of being able to set, organize around and deliver on a strategic vision, while also having the technical skills to help your teams navigate science and architectural tradeoffs. This is a leader-of-leaders role, so you will have experience hiring, training and inspiring leaders who will help you be successful.

Key responsibilities:

• Define, drive agreement on, and execute on a strategic data science vision

• Hire and develop diverse and impactful data science leaders and teams, providing technical oversight and standardized training

• Provide technical mentorship and support while letting your team make key decisions and learn from their mistakes

• Work with Product Managers and Software Engineering leaders to define and iteratively deliver roadmaps

• Build a collaborative team environment

Qualifications:

• Master’s degree in Computer Science, Statistics, Mathematics or related field, or equivalent work experience

• At least 5years shipping machine learning models, ideally over the full product development lifecycle

• At least 2 years leading data science/machine learning teams indirectly (i.e., managing managers)

Role summary:

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take hybrid approach to workplace, this role is Digital First.

As a global business, LSEG relies on diversity of culture and thought to deliver our goals. Therefore we seek hardworking, qualified employees in all our operations around the world-regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. LSEG is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. LSEG makes reasonable accommodations for applicants and employees with disabilities. If an accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us to request an accommodation.

Career Stage:
Director

London Stock Exchange Group (LSEG) Information:

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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Common requirements include proficiency in programming languages such as Python or R, experience with machine learning frameworks like TensorFlow or PyTorch, strong knowledge of algorithms and data structures, experience with cloud platforms, and a background in computer science, mathematics, or related fields.

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