1 to 25 of 199 Backtesting Jobs in the UK

simulation, and live trading. Design scalable Linux‐based data and compute architectures , including feature engineering and large dataset processing. Support the creation of robust backtesting environments , ensuring accuracy, reproducibility, and efficiency. Collaborate with investment teams to enhance portfolio construction, execution logic, and model robustness. Contribute to the broader technology ...

Proficiency in Java, used to develop and maintain production systems within an electronic trading environment. Proficiency in Python and kdb, applied to quantitative research, backtesting, and data analysis. Master's or PhD degree in Financial Mathematics, Computer Science, Physics, or a closely related discipline, or equivalent practical experience ...

financial services.Proficiency in Java, used to develop and maintain production systems within an electronic trading environment.Proficiency in Python and kdb, applied to quantitative research, backtesting, and data analysis.Master's or PhD degree in Financial Mathematics, Computer Science, Physics, or a closely related discipline, or equivalent practical experience in a relevant ...

historical and real-time) data models and services, ensuring consistency across analytics use cases.Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.Contribute to API design, data modeling, and system architecture for shared analytics platforms.Integrate analytics services with batch and streaming data pipelines across research ...

real-time) data models and services, ensuring consistency across analytics use cases. Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics. Contribute to API design, data modeling, and system architecture for shared analytics platforms. Integrate analytics services with batch and streaming data pipelines across ...

reliable data feeds for investment teams and broader stakeholders.Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor-based research.Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy ...

data feeds for investment teams and broader stakeholders. Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor‐based research. Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics ...

data feeds for investment teams and broader stakeholders. Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor‐based research. Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics ...

data analysis, feature engineering, and assessment of data suitability for systematic strategies.Collaborate with PMs to design and execute signal research projects, including hypothesis generation, backtesting, and statistical validation.Develop tools and frameworks to accelerate dataset evaluation and signal discovery, enabling PMs to rapidly assess the value of new data sources.Serve ...

such as VWAP, TWAP, Inline, and Pairs• Experience working on matching engines and dark pools• Experience implementing automated testing strategies for algorithms, including simulation, backtesting, regression suites, and replay frameworks• Deep understanding of market microstructure, pre-trade risk checks, limit frameworks, and regulatory requirements, and how they affect execution algorithm ...

using Java, Rust, or other cutting-edge technologies. Conduct microstructure research and analysis of EMEA equity markets leveraging mathematical finance, statistics, and probability. Build backtesting frameworks and prototype quantitative research projects on algorithmic trading topics using Python and kdb. Monitor, analyze, and optimize platform performance to ensure ultra-low latency ...

external venue upgrades, internal and external regulatory requirements. Fully engage with the Agile SDLC Work alongside Quantities Strategies Group to review code and enhance backtesting capabilities. Solve problems independently, manage your own workload, engage other teams where required, elevate appropriately and pro-actively drive tasks to completion What ...

required by external venue upgrades, internal and external regulatory requirements.Fully engage with the Agile SDLCWork alongside Quantities Strategies Group to review code and enhance backtesting capabilities.Solve problems independently, manage your own workload, engage other teams where required, escalate appropriately and pro-actively drive tasks to completionWhat we are looking ...

pace required in an investment team Nice To Have Experience with options, derivatives, volatility strategies, or risk analytics Experience with signal pipelines, research platforms, backtesting systems, or live trading infrastructure Experience building monitoring tools, dashboards, or operational analytics platforms Familiarity with distributed computing, workflow orchestration, or large-scale data pipelines ...

quantitative research team on-site. ResponsibilitiesDesigning and implementing a low latency high-frequency trading platformAssisting in the development of a tick by tick backtesting research platformAssisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resourcesOptimizing the computational efficiency of existing machine ...

supporting their professional growthUse public and proprietary data to identify new opportunities to generate P&LDrive research from prototype through to production, including backtesting, deployment and monitoringAnalyse the behaviour of production trading models on an ongoing basis, identifying and delivering areas of improvementPartner with trading, technology and risk stakeholders ...

interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering ...

Systems Electronic Trading Algorithmic Trading JVM Market Data Linux Performance Tuning Event-Driven Architecture Microservices Multithreading TCP/IP Kernel Bypass KDB+ Rust C++ Backtesting Trading Systems Financial Markets Technology System Architecture. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. #J-18808-Ljbffr ...

modern Java. What youll work on Low-latency Rust and Java frameworks Event-sourced systems operating in the 10100 microsecond range Market-data replay, backtesting and simulation tooling High-performance market-data processing Linux, kernel and systems-level performance optimisation TCP/IP networking and kernel-bypass technologies Performance profiling ...

What you’ll work on Low-latency Rust and Java frameworks Event-sourced systems operating in the 10–100 microsecond range Market-data replay, backtesting and simulation tooling High-performance market-data processing Linux, kernel and systems-level performance optimisation TCP/IP networking and kernel-bypass technologies Performance profiling ...

Rust alongside modern Java.What you’ll work onLow-latency Rust and Java frameworksEvent-sourced systems operating in the 10–100 microsecond rangeMarket-data replay, backtesting and simulation toolingHigh-performance market-data processingLinux, kernel and systems-level performance optimisationTCP/IP networking and kernel-bypass technologiesPerformance profiling, benchmarking and latency reductionFrameworks ...

organization, the Equities Technology team continues to invest in proprietary tools and services that support the firm’s Equities Volatility business, enabling research, strategy backtesting, and risk management across equities derivatives portfolios.What You'll Do• Partner with investment teams and business stakeholders to gather, synthesize, and translate business and functional ...

derivatives products in multiple asset classes • Proven ability to apply risk management models and techniques such as Value at Risk models, Liquidity Risk models, backtesting and stress testing models • Proven ability to conduct research, analyze problems, formulate and implement solutions in an efficient, effective and independent manner • Excellent written ...

models into live trading environments. Optimise inference latency and robustness; ensure models behave safely under live market conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Hard Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python ...

forwards, vol surfaces)Pricing models for new instruments and productsTrading strategy development and optimisationRisk modelling alongside the Risk team (VaR, stress testing, scenario analysis)Backtesting frameworks and model validationCustomer behaviour modelling, pricing strategy and product launch supportCollaborating with product teams to translate quantitative insights into customer-facing decisionsQualificationsWhat ...