1 to 25 of 71 Backtesting Jobs in London

MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability) Development of pre-trade analytics to support in trading decisions (e.g. computing trade relative value metrics and strategy backtesting) Provide quantitative modelling expertise to trading (e.g. portfolio optimization, flow matching, trade prospect ranking) Your skills and experience Good experience in a front office technical/quant role within investment More ❯

Key Responsibilities: Develop and optimize quantitative models and systems for trading and risk management. Implement mathematical models into production systems in collaboration with research teams. Perform data analysis, backtesting, and evaluate trading strategies. Enhance system performance, scalability, and reliability. Qualifications: Degree in Computer Science, Mathematics, or related field (Master’s/PhD preferred). Strong programming skills in Python, SQL More ❯

in collaboration with quants and traders. Ensure robust integration of pricing libraries with trading systems. Maintain and enhance low-latency infrastructure for real-time risk and PnL calculations. Conduct backtesting and performance analysis of models and trading strategies. Provide technical guidance and support across the trading floor on model behaviour and system performance. Liaise with technology and infrastructure teams to More ❯

Role:- The role involves many things such as:- Contribute to the development of thetechnology and automation of routine tasks. Improve execution/alphas through backtesting/analysis Assist in the deployment and verification of upgrades to the production environment’s technical infrastructure, custom trading applications, market data distribution plant, etc. Onboard and organise new data sets. Help launch new strategies More ❯

needs into efficient, scalable data systems. Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems. Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development. Improve data storage and retention efficiency using distributed systems and performance-optimised formats. Troubleshoot complex technical issues across multiple layers, including low-level market data handling More ❯

work alongside other exceptional programmers and strategists to solve some of the most significant engineering problems in the world. Responsibilities: Assisting in the development of a tick-by-tick backtesting research platform and exchange simulation Collaborating with hardware and software developers across divisions to build ultra-low latency trading systems Contributing towards the team's technical direction by driving new More ❯

high-frequency trading strategies, leveraging deep knowledge of market microstructure Analyze large-scale market data to uncover inefficiencies and design robust, data-driven models Build and maintain simulation and backtesting tools aligned with real-world trading conditions Write and optimize production-grade code for signal generation, execution logic, and infrastructure components Collaborate across disciplines to ensure seamless integration of research More ❯

their success. Responsibilities Ensuring risk models are in a production-ready state by contributing to various parts of development, in particular the productionization Improving research tools and models, e.g. backtesting Developing APIs for internal and external customers with customized analytics Maintaining, improving and extending the scenario engine and risk engine code Skills & Experience Required Minimum 5+ years' quant software development More ❯

for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model More ❯

for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model More ❯

+ Comprehensive Benefits 🚀 The Opportunity Join a leading technology-driven trading firm as a Software Developer , where you’ll design, automate, and optimize systems that power trading, research, and backtesting at scale. This is a high-impact, hands-on role where your work directly shapes real-time decision-making and system performance within a fast-paced, engineering-led environment . More ❯

+ Comprehensive Benefits 🚀 The Opportunity Join a leading technology-driven trading firm as a Software Developer , where you’ll design, automate, and optimize systems that power trading, research, and backtesting at scale. This is a high-impact, hands-on role where your work directly shapes real-time decision-making and system performance within a fast-paced, engineering-led environment . More ❯

are looking for the next wave of tech driven, entrepreneurial personalities to help expand the team. Responsibilities: Develop and Maintain Research Platforms, building Python-based tools and libraries for backtesting strategies, analyzing data, and simulating trading logic to support quant researchers. Implement Quantitative Models and Signals, translating trading ideas or academic models into production-ready Python code, ensuring reproducibility, performance More ❯

are looking for the next wave of tech driven, entrepreneurial personalities to help expand the team. Responsibilities: Develop and Maintain Research Platforms, building Python-based tools and libraries for backtesting strategies, analyzing data, and simulating trading logic to support quant researchers. Implement Quantitative Models and Signals, translating trading ideas or academic models into production-ready Python code, ensuring reproducibility, performance More ❯

execution. Python is the primary language used throughout the stack, making strong fluency essential. Core Responsibilities Contribute to the architecture, testing, and performance tuning of a scalable trading and backtesting platform. Build reliable, production-grade tools that enable researchers to access, clean, and analyze market and alternative data. Collaborate with engineers and quantitative researchers to support model development and operational More ❯

processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯

processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯

processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯

processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯

systems. What youll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness, and explainability. Evaluate data quality, model governance, and regulatory compliance. Collaborate with AI Modelling, Compliance, and Risk teams to address More ❯

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 More ❯

core systematic strategies team. Role The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models. Build and enhance data pipelines and backtesting frameworks for large-scale market data. Integrate new data sources and ensure data quality and reliability across research environments. Refactor and optimise existing code for performance and maintainability. Contribute to … or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research and technology teams. Exposure to low-latency or real More ❯

Role Title: Junior KDB+ Developer Location: London, UK On-site working Full time employment Start Date: ASAP Overview Our consultant will be sitting within our client's eFX technology department that is responsible for a suite of applications and services More ❯

Role Title: Junior KDB+ Developer Location: London, UK On-site working Full time employment Start Date: ASAP Overview Our consultant will be sitting within our client's eFX technology department that is responsible for a suite of applications and services More ❯

Role Title: Junior KDB+ Developer Location: London, UK On-site working Full time employment Start Date: ASAP Overview Our consultant will be sitting within our client's eFX technology department that is responsible for a suite of applications and services More ❯