26 to 50 of 138 Backtesting Jobs in England

Qualifications Familiarity with modern data architectures, such as data lakes orlakehouseenvironments, and platforms including Databricks, Snowflake, or similar tools. Exposure toperformance analytics, benchmark analysis,backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical workflows, improve efficiency, or enhance research output. Knowledge of index ...

modern data architectures, such as data lakes or lakehouse environments, and platforms including Databricks, Snowflake, or similar tools. Exposure to performance analytics, benchmark analysis, backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical workflows, improve efficiency, or enhance research output. Knowledge of index ...

join its electronic execution team in London. The role focuses on developing high-performance cash equity algorithmic trading platforms using Java and Rust, with backtesting in Python and kdb. You will analyze market microstructure, collaborate with traders and risk teams, and drive ultra-low latency solutions. The role offers ...

Perform feature combination and monetization using various modeling techniques Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Maintain and improve portfolio trading in a production environment Contribute to the analysis framework for scalable research Requirements Background in mathematics, statistics ...

equities, futures and/or FX.Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior. ...

futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior. #J-18808-Ljbffr ...

derivatives products in multiple asset classes preferredPrior experience in applying risk management models and techniques such as Value at Risk models, Liquidity Risk models, backtesting and stress testing models will be an advantage. Ability to be a team player and to collaborate with other teamsAbility to conduct research, analyze problems ...

will doHelp to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in productionPartner with Quantitative Researchers to conduct research: test hypotheses ...

Attribution: Calculate and monitor P&L attributed to GM Credit activity based on sensitivities, with the aim of understanding and replicating the Management Account. Backtesting: Perform daily challenges to the current internal model by comparing VaR against Credit activity results. Systems & Data: Identify and resolve incidents related to the configuration ...

physical commodity markets or alternative data. A practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development, backtesting , portfolio construction and production use. Experience defining product strategy, evaluating market opportunities and making commercial trade-offs across pricing, packaging, investment and portfolio priorities. Evidence ...

development and continuous improvement of our production pricing models. Turning pricing opportunities into measurable hypotheses, experiments and production changes. Evaluating pricing performance through backtesting, online testing and commercial metrics. Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing. Working with commercial, finance and product teams to understand ...

experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics, signal research, backtesting or factor modelling; full stack familiarity (Flask, Django, FastAPI); SaaS build/deploy on cloud (Docker, AWS or similar); an understanding of Java; and experience ...

Key Responsibilities We are looking for an etrading quant to join our algorithmic trading team in UBS Global Markets. This is a front-office role specializing in FX and Interest Rate Derivatives. You will work ...

research and portfolio production in a Linux environment. You will contribute to a multi‐year platform initiative designed to support large‐scale data processing, backtesting, and ML workflows. The role emphasizes writing production‐quality Python, with opportunities to apply C++ expertise. Strong collaboration with researchers and PMs is essential ...

environments. This role offers the opportunity to work on a broad range of challenges spanning quantitative research infrastructure, machine learning platforms, market data systems, backtesting frameworks, execution technology and real-time analytics. Responsibilities Design, build and enhance the quantitative trading platform used across research and production environments. Partner closely with ...

your hypotheses in a live environment. On a day-to-day basis your responsibilities will include: Building and improving sports prediction models Implementing and backtesting new statistical arbitrage strategies Developing and improving clients' high frequency strategies Supporting the trading desk with analysis of strategy performance or A/B testing ...

Frequency Trading Team is a fully automated trading team, trading multiple products across global markets. The team's framework facilitates live trading and historical backtesting and includes the data processing pipelines and research tools necessary for new alpha research. The codebase is predominantly in Python leveraging a number of industry ...

research to identify and validate alpha opportunities within global markets. Take ownership of the full research lifecycle, including signal generation, data analysis, strategy development, backtesting, optimisation, and deployment into production. Source, assess, and integrate new datasets to enhance predictive models and improve stock return forecasting. Monitor, maintain, and enhance live ...

systematic strategies within AllianceBernstein’s Fixed Income division. Responsibilities include, but are not limited to:* Developing and evaluating systematic investment strategies through simulations, backtesting, and strategy analysis.* Working on portfolio optimization, data science, and quantitative research problems.* Conducting factor discovery, factor return analysis, and risk attribution.* Contributing to our quantitative ...

will help turn hypotheses into production trading systems while collaborating with senior researchers and investment professionals. The role focuses on Python-based research, backtesting, large data handling, and building reusable pipelines in a hybrid London setting. #J-18808-Ljbffr ...

will bridge AI, data science, and finance to enable traders and researchers to convert questions into actionable insights. The role spans signal generation, backtesting, risk analysis, and research analytics across asset classes, with a focus on production-quality AI capabilities and close collaboration with trading desks and software engineers. #J ...

Portfolio Manager and other team members, engaging with the whole investment process. Responsibilities Working alongside the PM on alpha research, from idea generation to backtesting for systematic strategies. Contributing to the research and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics ...

leading business. Working directly with our users and partners, we build out tools and APIs and integrate quant models to support risk management, pricing, backtesting and trade lifecycling. This role balances financial markets experience and expertise with high-level understanding of the large Macro tech stack in order to develop ...

/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 ...

Quantitative Researcher: Perform rigorous and innovative research to discover systematic anomalies in 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 ...