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Data Scientist - London, UK (Fully REMOTE)

Randstad Technologies Recruitment

+4

Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption. What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt. Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau. Champion data quality, implement CI/CD for dbt models, and mentor junior team members.What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity.This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy

C++ Developer- Sophisticated Prop Trading Firm

Salary: up to £200k + bonus

Summary

High-frequency prop trading firm with offices worldwide are looking to expand their in-house trading team with a talented software developer well-versed in modern C++.

Enjoying high levels of autonomy, the successful candidate will design, develop and implement a low-latency, high-frequency trading platform. You will also contribute to the development and optimization of large-scale parallel computation problems involving large amounts of shared data, and improve performance by optimizing the efficiency of machine learning-based algorithms.

The ideal candidate will be comfortable managing multiple tasks in a fast-paced environment and possess exceptional communication skills in English, both verbal and written.

Requirements

5+ years of practical experience in C++ and 3 years with Python
Professional experience of C++ 14/17/20
Strong proficiency with data structures, algorithms, and OOP
Sound experience using other programming languages, such as Java
Solid working knowledge of Linux and SQL
Self-starter, with a passion for innovation and building systems from scratch

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

Benefits

Competitive salary + bonuses
They’re willing to be flexible with WFH
Benefits including medical insurance and gym membership
Collaborative and friendly environment with smart, highly engaged colleagues
Relaxed, dress-down office culture, with breakfast, lunch and snacks provided

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

Data Engineer - HFT - London- Leading Quant Fund

Salary: £200k + bonus

Summary

The positive feel of a start-up with the benefits that come with a more established player, this leading HFT firm is looking for a dynamic software engineer to join one of their most successful quant trading teams. Collaborating extensively with traders and other technologists, you’ll design, write and maintain a complex Python infrastructure. This role is as front office as developers come within the firm without being a Quant.

The ideal candidate will be passionate about: data, development, and keen to learn about automated electronic trading. They are very keen to see people with an interest in sports / sports betting. You will be expected to solve difficult technical problems in a fast-paced and energetic environment, with a focus on processes that are robust, scalable and fault-tolerant. Most problems require high-availability, high-throughput and low-latency solutions.

The trading team see technology as a key component of their continued success and candidates will be exposed to cool, cutting-edge technologies.

Financial experience is not essential; just an eagerness to learn, and learn quickly.

Requirements

Excellent problem-solving skills, ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability
Solid knowledge of Python and Linux (some C++ preferable)
Self-directed; able to take ownership of several projects at once
Knowledge of SQL, Redis, InfluxDB is a bonus
Bachelor’s degree (or higher) in Computer Science or Computer Engineering (or equivalent)
An interest in sports / sports betting is advantageous

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

Benefits

Competitive base salary + bonus; they will pay leading market rate / are flexible for the right candidate
They’re willing to be flexible with WFH
Collaborative and rewarding work environment and culture
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 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

Senior Front Office Engineer- Leading Global Energy Commodities Trading

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now looking for experienced engineers in any programming language to join the Data Science & Technology team in London.

This team is pivotal in giving the firm a competitive edge, and this role offers the opportunity to build solutions that have a direct commercial impact from day one. Solving complex, high-impact challenges using a modern technology stack, everything is developed in cloud-native infrastructure from real-time analytics to backtesting engines, to third party integrations and internal libraries. A few examples of what you’ll do:

Partner directly with traders & analysts to engineer and optimize trading processes and strategies.
Build and maintain scalable, high-performance Python services and APIs
Design and implement cloud-native tools that integrate seamlessly into the Front Office platform
Design and build a robust, reusable framework to support back-testing activities

If you like to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts, this position would be perfect for you.

Requirements

Strong professional experience in any programming language (Python highly beneficial)
Proficiency in SQL and relational database technologies
Familiarity with DevOps practices
Ability to communicate effectively with technical and non-technical colleagues

Desirable

Exposure to AWS & Snowflake technologies
Experience building or working on back testing engines and systematic trading
Experience in energy or commodities trading

Rewards and Incentives

Competitive base salaries + bonuses
Generous benefits program, including
- parental and family leave policies
- comprehensive insurance (medical, dental, retirement, life)
- charity volunteering allowance + charitable contribution match program
- tuition assistance & reimbursement + continued learning opportunities

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, drop me an email or give me a call:

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

Senior Data Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London.

This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You’ll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems.

This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts.

Requirements

5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments)
Experience with energy commodity time-series datasets is a must-have
Understanding of systematic trading workflows (signal generation, back-testing, model validation)
Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops
ETL/ELT frameworks experience writing pipelines to load millions/billions of records
Advanced skills in writing highly optimized SQL code & relational databases
Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.

Desirable

Exposure to AWS & Snowflake technologies
Familiarity with short-term power market data sources, such as EPEX, ENTSO-E or Nord Pool, is strongly preferred

Rewards and Incentives

Competitive base salaries + bonuses
Generous benefits program, including
- parental and family leave policies
- comprehensive insurance (medical, dental, retirement, life)
- charity volunteering allowance + charitable contribution match program
- tuition assistance & reimbursement + continued learning opportunities

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, drop me an email or give me a call:

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

Quant Developer - Vol- 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 in a dynamic and fast-paced environment, with excellent opportunities for career growth.

Looking for a motivated Python Quant Developer to work within a trading desk alongside Quant Researchers and Traders where you will have a direct & immediate impact on the desk’s success. Your primary focus will be building applications to provide market data & insights to inform trading decisions. This role offers exposure to many aspects of volatility trading, including derivatives pricing, data management and analytics structure (cloud computing and ML technologies).

The ideal candidate is tech-driven, with experience developing trading apps and/or setting up trading framework.

Requirements

1-3 years’ professional experience, likely at a bank or a fund
Comfortable in Python, in particular Python libraries: numpy, pandas, matplotlib, etc.
Proficient with AWS
Good knowledge of SQL and relational databases
Outstanding communication skills

Desirable

Available to start immediately
Knowledge of financial derivatives and options

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 feel you are a strong match for this role, please do not hesitate to get in touch:

Dominic Copsey
dominic.copsey@oxfordknight.co.uk
+44 (0) 203 475 7193
linkedin.com/in/dom-copsey-586478143/

Senior Front Office Engineer (Short-Term Power Markets)- Leading Global Energy Commodities Trading

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now looking for highly experienced Python engineers who can sit at the intersection of technology and trading to join the Data Science & Technology team in London.

This team is pivotal in giving the firm a competitive edge, and the initial scope of this role will focus on short-term power initiatives, building tools and systems that directly enable the front office to test and execute strategies efficiently in fast-moving markets.

To do this, you’ll design, develop and maintain real-time trading applications, analytics platforms, and data pipelines critical to decision-making and strategy deployment for the European Intraday Power desk.

This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts.

Requirements

10+ years of professional software engineering experience in Python
Experience with modern frameworks, APIs, and cloud-native architecture
5 years’ supporting Intraday Short-Term Power trading (or similar real-time energy market environment)
Strong foundation in Computer Science fundamentals, including data structures, algorithms, and software design principles
Proficiency in SQL and relational database technologies
Familiarity with DevOps practices, including Docker and cloud-native deployments
Experience in Linux and Windows environments

Desirable

Exposure to AWS & Snowflake technologies
Familiarity with fundamental and weather datasets, as well as market data sources such as EPEX, ENTSO-E, or Nord Pool.

Rewards and Incentives

Competitive base salaries + bonuses
Generous benefits program, including
- parental and family leave policies
- comprehensive insurance (medical, dental, retirement, life)
- charity volunteering allowance + charitable contribution match program
- tuition assistance & reimbursement + continued learning opportunities

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, drop me an email or give me a call:

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

Senior Market Risk Developer - Market Data - Jefferies

Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure

Position / Group description:

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.

We are seeking a Market Data Developer to design and implement solutions for sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS , and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide accurate and timely market data inputs for pricing engines and risk models.

Primary Responsibilities:

Data Sourcing & Integration

Source EOD market data by region from various front-office marking systems and external providers.
Validate and normalize data across asset classes for pricing and risk consumption.

Data Modeling & Storage

Design and implement data models in Snowflake to persist: End-of-day prices, Volatility surfaces, Credit spread curves, Discount curves and other risk-related market data

Infrastructure Development

Provide solutions to pricing engines to deliver market data by region with high reliability and performance.
Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance.
Implement data quality checks and ensure auditability.
Integrate with AWS SQS messaging for data readiness events.

Collaboration

Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.

Essential Experience/ Skills:

7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
Strong Python (pandas, numpy, data engineering best practices).
Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
ETL/ELT pipeline development

Domain Knowledge:

Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Personal Attributes:

Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
Strong verbal and written communication skills
Self-starter and entrepreneurial in approach
Ability to escalate and follow-up proactively
Good time management skills

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer. We practice equal opportunity for all, and all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with qualified disabilities, as appropriate, under applicable law.

Senior Market Risk Developer – Historical Timeseries - Jefferies

Senior Market Risk Developer – Historical Timeseries

Position / Group description:

The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.

The position is for a Techno-Functional Developer to design, enhance, and maintain the Market Risk Time Series infrastructure built on Snowflake and AWS. This role requires strong technical skills combined with deep domain expertise in market risk, including VaR , end-of-day market data , and historical time series. The candidate will work closely with the Market Data team and Risk stakeholders to ensure accurate, scalable, and auditable data solutions for risk analytics.

Primary Responsibilities:

Data Sourcing & Integration
Source historical market data from multiple internal and external providers.
Integrate with quant libraries to identify data quality issues and validate risk inputs.

Data Quality & Remediation

Integrate with Quant APIs to detect and remediate common data quality issues (gaps, stale data, outliers, misalignments).
Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations.

Infrastructure Development

Build and enhance Snowflake-based time series infrastructure for scalability and performance.
Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval.

Collaboration & Governance

Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
Ensure reproducibility and auditability of risk inputs for regulatory compliance.

Essential Experience/ Skills:

7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
Strong Python (pandas, numpy, data engineering best practices).
Advanced SQL and Snowflake (warehouse management, streams/tasks, query optimization).

Domain Knowledge

Market risk concepts: VaR, SVaR, sensitivities, stress testing.
Handling end-of-day market data and historical time series across asset classes.
Techno-Functional
Ability to translate risk requirements into technical solutions and data contracts.
Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline

Personal Attributes:

Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
Strong verbal and written communication skills
Self-starter and entrepreneurial in approach
Ability to escalate and follow-up proactively
Good time management skills

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer. We practice equal opportunity for all, and all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with qualified disabilities, as appropriate, under applicable law.

Trade Operations and Systems Engineer - CBCX GROUP LTD

Trade Operations and Systems Engineer （Chinese language skill is desired） We are seeking a highly skilled Trade Operations and Systems Engineer to oversee and optimise our day-to-day CFD trading operations, with a particular focus on trade execution monitoring, system automation, and the development engineer for trading P&L, open positions, and trade reconciliation. This role sits at the intersection of trading technology and operational risk management and requires a candidate with both deep technical capabilities and strong domain knowledge in FX and CFD trading. The successful candidate will be responsible for ensuring seamless and accurate trade execution, settlement, and reconciliation. The position requires hands-on experience with CFD trading platforms (such as MT4/MT5, PXM/OZ, XCore, Integal), database management, and FIX protocol integration, as well as the ability to streamline operational workflows through coding and automation. Candidates should be well-versed in supporting front-office trading teams and aligning back-office processes with regulatory standards and data accuracy requirements. Some responsibilities in this role involve communicating with clients and partners who primarily use Chinese, Chinese language proficiency (spoken and written) is highly desired. Key Responsibilities Trade Operations & System Development Monitor and manage CFD/FX trade executions, including real-time monitoring of trade flow and open positions across platforms. Maintain and improve systems for automated calculation of profit and loss (P&L), margin usage, and open positions using C++, Python, SQL, and related technologies. Develop robust automated workflows for trade settlement, transaction reconciliation, and risk exposure tracking. Ensure high system availability, stability, and performance for trading applications. Troubleshoot and optimise operational workflows across front, middle, and back-office environments. Trading Infrastructure & Protocol Management Integrate and manage trade bridge connections and APIs for trading execution and post-trade operations. Resolve issues related to trade discrepancies, latency, or order mismatches in FIX messaging. Assist in onboarding new liquidity providers and counterparties via FIX protocol and bridging platforms. Data Management, Reporting & Reconciliation Maintain and optimise relational databases to store large volumes of trade data for analysis and reporting. Implement ETL (Extract, Transform, Load) pipelines to ensure data accuracy between internal systems and third-party platforms. Create and manage interactive dashboards and performance reports using Power BI or Tableau. Conduct daily reconciliation between front office systems, back office, custodians, and liquidity providers. Compliance, Documentation & Operational Risk Ensure compliance with internal policies, industry regulations, and data protection laws (e.g., GDPR). Maintain detailed technical documentation covering system architecture, workflows, and exception handling procedures. Proactively identify and resolve operational risk incidents or anomalies in trading processes. Required Qualifications and Experience 2–5 years of experience in CFD/FX operations, trading systems engineering within the brokerage or banking industry. Solid understanding of CFD and FX trading instruments, market structure, and execution workflows. Hands-on experience with trading platforms including MT4/MT5, PXM/OZ, XCore, Integral, GUI, and other comparable systems, with proven capability in system integration and technical troubleshooting. Experience in trade lifecycle management, reconciliation, and exception resolution between front, middle, and back-office systems. Technical Skills Proficient in Python, SQL, C++, C#, and Java for developing automation tools, system integrations, and data transformation scripts. Strong database design and optimisation experience (SQL/NoSQL). Competence in building ETL pipelines, custom APIs, and data warehousing solutions. Skilled in Power BI or Tableau for real-time operational and financial reporting. Familiarity with bridging and aggregation platforms such as OneZero, Integral, and XCore GUI. Experience with distributed systems and high-volume data processing environments. Soft Skills Strong interpersonal and communication skills with the ability to collaborate cross-functionally with trading, compliance, risk, and IT teams. Ability to explain complex technical solutions to non-technical stakeholders. Resilient and calm under pressure in high-volume trading environments. Highly organised, with a proactive and analytical approach to problem-solving. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Financial Engineering, Quantitative Finance, Mathematics or a related discipline. Professional background in FX brokerage, liquidity management, or electronic trading. Fluency in Mandarin in desired. Performance-based bonus scheme with clear KPIs. Exposure to cutting-edge trading technologies and innovation in fintech. Opportunities for career development and training in advanced financial systems. Collaborative and agile working culture. Employment Type Full-Time, Permanent Work schedule: Monday to Friday Application Questions Do you hold a degree in Computer Science, Financial Engineering, or a related field? Do you have experience in FX operations, database development, or system engineering Are you fluent in Mandarin?

EMEA E-Trading Applications Support - Assistant Vice President - 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

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech .

This particular Application Support role sits at the heart of the Global Markets e-trading infrastructure structure. Candidate will be providing RTB (Run The Bank) Production Support for Client Connectivity and Futures Trading Execution Support, which offers the ability to learn about global markets and e-trading. The successful candidate will liase with trading floor users and possess the following technical skillset:

Responsibilities:

The Application Support Senior Analyst provides technical and business support for users of Citi Applications. This includes providing quick resolutions to app issues, driving stability, efficiency and effectiveness improvements to help us and the business succeed.
Maintains application systems that have completed the development stage and are running in the daily operations of the firm.
Manages, maintains and supports applications and their operating environments, focusing on stability, quality and functionality against service level expectations.
Start of day checks, continuous monitoring, and regional handover.
Perform same day risk reconciliations
Develop and maintain technical support documentation.
Identifies ways to maximize the potential of the applications used
Assess risk and impact of production issues and escalate to business and technology management in a timely manner.
Ensures that storage and archiving procedures are in place and functioning correctly
Formulates and defines scope and objectives for complex application enhancements and problem resolution
Reviews and develops application contingency planning to ensure availability to users.
Partners with appropriate development and production support areas to prioritize bug fixes and support tooling requirements.
Participate in application releases, from development, testing and deployment into production.
Engages in post implementation analysis to ensure successful system design and functionality.
Considers implications of the application of technology to the current environment. Identifies risks, vulnerabilities and security issues; communicates impact.
Ensures essential procedures are followed and helps to define operating standards and processes.
Act as a liaison between users/traders, interfacing internal technology groups and vendors.
Expected to be able to raise problems to appropriate technology and business teams, while adhering to Service Level Agreements.
Acts as advisor or coach to new or lower level analysts.
Provides evaluative judgment based on analysis of factual information in complicated and unique situations.
Directly impacts the business by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
Exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
Active involvement in and ownership of Support Project items, covering Stability, Efficiency, and Effectiveness initiatives.
Performs other duties and functions as assigned.
Has the ability to operate with a limited level of direct supervision.
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.

Qualifications:

Relevant experience in an Application Support role.
Experience installing, configuring or supporting business applications.
Experience with some programming languages and willingness/ability to learn.
Advanced execution capabilities and ability to adjust quickly to changes and re-prioritization
FIX protocol
Unix
SQL
E-trading experience (connectivity, market data, financial markets)
Intermediate coding skills (nice to have)

Education:

Bachelor’s/University degree or equivalent experience

What we will provide:

By joining Citi, 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

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:
Applications Support ------------------------------------------------------
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.

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: 1. Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows 2. Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans 3. Maintain process quality and robustness through coding best practice, including version control, documentation and peer review 4. Investigate and elaborate data issues to help drive continuous improvement in data quality 5. Migrate Legacy processes to new data platforms 6. Learn new tools and techniques to support data processing and analytics as we expand our toolkit Skills we would love you to have: 1. Minimum 2:1 in a relevant technical degree. 2. A good understanding of database architecture and querying using SQL. 3. A sound understanding of data transformation and cleaning. 4. Programming experience using any language such as Python. 5. Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik 6. 2- 4 years experience, good communication to work across functional team

Index Distribution Software Engineer - London Stock Exchange Group

London Stock Exchange Group

+7

FTSE Russell | LSEG Technology

FTSE Russell is a leading global provider of financial services, specializing in the creation and management of indexes, data, and analytic solutions. A subsidiary of the London Stock Exchange Group (LSEG), FTSE Russell supports investors worldwide in making informed decisions across asset classes, investment strategies, and market segments. Its products are trusted by institutional and retail investors, asset managers, and pension funds to benchmark performance, build investment portfolios, and manage risk. With a reputation for innovation, transparency, and robust governance, FTSE Russell plays a critical role in shaping global financial markets.

Job Summary:

FTSE Russell is seeking a junior software engineer to be part a dynamic team building the distribution capabilities of our index products to the financial community worldwide. The distribution platform encompasses the set of systems that deliver our indexes to clients who subscribe to indexes. This includes systems to provide analytics on our products, the build of our product data stores, the delivery our products across a variety of technology channels (files, APIs …), permissioning systems, and tracking which client is consuming which product through which delivery channel.

Building a state-of-the-art distribution system is our core objective. Ensuring that our clients receive consistent products, reliably with high content and format quality is central to the client experience, and therefore to the value of our products.

The ideal candidate is willing to enter the world of international finance and eager to learn about financial data. They develop a genuine interest in building data distribution technologies including cloud native distribution channels. Have strong analytical skills and is able to break down a problem into manageable pieces.

The right candidate demonstrate proven proficiency in typescript, python and javascript (with Angular) but is also eager to learn new languages and associated technologies.

As an Index Distribution Junior Software Engineer, you contribute to building a modern cloud native (on AWS) distribution infrastructure, with a high degree of resilience. You work with your team members to provide scalable solutions and deliver high quality index products to our clients. You work hard to ensure the index distribution initiatives are delivered on time and on budget, meeting functional and non-functional requirements.

All our engineers own the full software development lifecycle, deliver high-quality software, and foster a culture of quality, innovation and continuous improvement.

What You Do

As a hands-on software engineer, you build with purpose - solving real-world problems with measurable impact.

Build the code base of the next generation of index distribution platforms with the objective of providing a delightful index consumption experience.
Develop efficient, and secured cloud-native architectures.
Work with relational databases (PostgresSQL), possibly NoSQL and object stores, and modern Lakehouse architectures (Iceberg)
Design scalable data models, helped by peers and data governance
Contribute to code reviews and be code reviewed to learn and improve
Partner with global teams to define new solutions across cloud, data, and analytics.
Be an example for other by embedding a test culture in the software development process with the design of automated and integrated test cases.
Enjoy. Enjoy learning, experimenting, and push for innovative designs to help us building better product experiences for our clients.

Tech Stack You’ll Work On

Backend: Python, Typescript, SQL, APIs, microservices, containers
Frontend: Angular, JavaScript, HTML5/CSS
Cloud: AWS (EC2, Lambda, Glue, EKS, SQS, SNS and any other as required)
Databases: SQL Server, PostgreSQL, DynamoDB, possibly NoSQL
CI/CD: GitLab, Jenkins, Terraform

Experience we value:

Pragmatic application of technologies optimized for data distribution use cases
Be able to be product centric and client led
Solid experience in UI development for business-critical applications in Angular (8 and above), Java Script, Typescript, HTML/CSS, Java, C#
Exposure to AWS services

Personal traits you should have:

Excellent attention to detail and an ability to think laterally to solve business problems.
Ability to hit the ground running, learn quickly and work against tight deadlines.
Creative, results driven, self-motivated, and solutions oriented.
Demonstrates a can-do attitude, exhibits self-confidence and has excellent interpersonal and time management skills
Experience in working with and influencing key decision makers
Able to establish credibility quickly.

How We Work: Engineering at FTSE Russell

Our engineers operate with a clear “why” - staying aligned to strategic outcomes while putting the customer at the center of every decision. You’ll thrive here if you:

Build with Purpose: You understand the why behind every line of code and optimize for meaningful outcomes.
Customer Driven: You translate complex requirements into elegant solutions that delight users.
Technically Courageous: You step out of your comfort zone, challenge the status quo, and innovate with confidence.
Learn and be curious: You seek feedback, explore new technologies, and stay curious.
Grow and Uplift Others: You coach, mentor, and celebrate team wins.
Act as Owners: You act like an owner, making thoughtful trade-offs and delivering long-term value.
Lead with data: You trust the numbers, validate assumptions, and learn from failures.
Dive Deep: You stay close to the details and act decisively when something’s off.
Build responsibly, deliver incrementally: You embrace agile principles, delivering incrementally and improving through feedback.
Collaborate to achieve: You believe the best solutions come from diverse, cross-functional teamwork.

Why Join Us?

Global Brand, Local Impact: Contribute to FTSE Russell’s global index systems from Bangalore.

Engineering First Culture: Work in an agile, collaborative, tech-driven environment.

Cutting-Edge Projects: Engage with modern architectures and tools on mission-critical systems.

Career Growth: Benefit from global mentorship, upskilling programs, and internal mobility.

Flexibility: Enjoy a hybrid work model with good work-life balance.

Career Stage:
Senior Associate

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.

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.

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.

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.

Lead, Software & Platform Engineering - London Stock Exchange Group

London Stock Exchange Group

Lead, Software & Platform Engineering

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 65 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 values of Integrity, Partnership, Excellence and Change 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 65 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.

About the Role

We are seeking an experienced Lead Product Engineer to join our team in London.

In this SME-level role, you will be responsible for:

Technical leadership: Guide and mentor the engineering team, making key technical decisions and providing a strategic framework and detailed technical guidance covering architectural patterns, tactical design patterns, best practices, and a clear implementation process.

Product development: Lead the technology assessment for new products/features, influencing design decisions to manage risks and develop mitigation plans.

Cloud Architecture: Design and build solutions on public cloud platforms like AWS or Azure, leveraging services for compute, storage, and networking.

Cross-functional collaboration: Work closely with product management, design, quality, and manufacturing teams to ensure a successful product launch and sustainment.

Lead AI integration: Work with leadership to implement the company’s long-term AI strategy, identifying practical use cases for AI and translating product goals into actionable technical tasks. Lead the design, development, and deployment of AI-enhanced software solutions and oversee the integration of AI capabilities into products and workflows.

Prototyping and testing: Develop and implement testing procedures, create product prototypes, and conduct performance testing to ensure requirements are met.

Problem-solving: Lead the resolution of technical issues and quality excursions that arise during the product development and production phases.

This is a hands-on role involving deep technical work in Cloud Data Engineering, Analytics and ML.

Required Skills & Experience

10+ years in data engineering, data warehousing, analytics or similar roles.

Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces).

Experience leading and mentoring engineering teams, particularly distributed or remote teams.

Strong proficiency in programming languages like Python

Proven experience designing and implementing enterprise data warehouse solutions

Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt.

Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks.

Architect, designing and implementing robust and scalable CI/CD pipelines across diverse cloud (AWS, Azure) environments.

Familiarity with data governance, data quality frameworks, and access controls.

Strong communication skills for partner engagement and cross-functional collaboration.

WHAT YOU’LL GET IN RETURN:

Career growth, leading a commercially focused technology team in a high-profile business

Data platform products design and development opportunity

Leadership opportunity to determine strategic technology direction for Markets & Risk Intelligence products

Cutting edge development on AWS & Azure platforms and cloud technologies 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.

Career Stage:
Manager