1 to 25 of 51 Backtesting Jobs in the UK

seeking a researcher with a background in alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research More ❯

seeking a researcher with a background in alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research More ❯

seeking a researcher with a background in alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research More ❯

seeking a researcher with a background in alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research More ❯

seeking a researcher with a background in alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research More ❯

support portfolio managers trading complex equity derivatives and volatility indices. Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products. This role requires 4 days onsite in Central London. Required Skills: - Excellent C++ programming skills - you will be working on modern versions of More ❯

support portfolio managers trading complex equity derivatives and volatility indices. Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products. This role requires 4 days onsite in Central London. Required Skills: - Excellent C++ programming skills - you will be working on modern versions of More ❯

models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation reports that meet internal governance More ❯

models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation reports that meet internal governance More ❯

models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation reports that meet internal governance More ❯

models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation reports that meet internal governance More ❯

models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation reports that meet internal governance More ❯

version control, CI/CD, testing frameworks, code reviews Automate a broad range of operational tasks and reporting processes to free up trading and quant time Build tools for backtesting, Real Time analysis, and decision support Support the evolution of the dev platform and environments in collaboration with internal IT/engineering support Ensure high performance and maintainability in all More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from More ❯

in a systematic strategy. Role/Responsibilities: Perform rigorous and innovative research to discover systematic anomalies in equity markets End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization, and production implementation Identify and evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in the production environment Requirements: MS or PhD in physics, engineering More ❯

impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global macro, equity, or FX strategies within highly regulated environments. Proven records of backtesting and validating models against diverse historical and real-time datasets. Professional Skills: Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in More ❯

impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global macro, equity, or FX strategies within highly regulated environments. Proven records of backtesting and validating models against diverse historical and real-time datasets. Professional Skills: Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in More ❯

impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global macro, equity, or FX strategies within highly regulated environments. Proven records of backtesting and validating models against diverse historical and real-time datasets. Professional Skills: Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in More ❯

impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global macro, equity, or FX strategies within highly regulated environments. Proven records of backtesting and validating models against diverse historical and real-time datasets. Professional Skills: Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in More ❯

impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global macro, equity, or FX strategies within highly regulated environments. Proven records of backtesting and validating models against diverse historical and real-time datasets. Professional Skills: Exceptional communication abilities to explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in More ❯