1 to 25 of 92 Backtesting Jobs in London

Implement and optimize IMM methodology within proprietary and vendor platforms. Collect, validate, and aggregate market and risk data from multiple sources. Develop and maintain backtesting, benchmarking and performance monitoring frameworks to validate IMM performance against historical P&L vectors. Build and enhance analytics platforms to support IMM processes and parameter ...

them from prototype through daily use. Job Responsibilities: Work alongside traders, quants and other engineers to build quant trading tools, including signal research, backtesting frameworks, and strategy monitoring Develop and productionize fundamental models for energy markets, such as supply/demand balances, inventory and flow analysis, and curve and spread ...

projection, hedging and execution), from initial design through to deployment, monitoring and incident resolution. Build the research and data infrastructure that supports it, including backtesting and simulation, signal and feature pipelines, and reproducible analysis over large historical datasets. Take models and strategies from prototype to production, so that they ...

Quantitative Developer to build data-driven, model-led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real-time market insight. Role Overview Partner with traders and quants to deliver production-grade applications and services. Build real-time pricing ...

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 ...

sensitivities and pricing models supporting CCR calculations. Exposure to test automation, scripting or testing approaches for analytics-intensive environments. Knowledge of stress testing and backtesting within CCR. ISTQB Foundation/Advanced Test Manager, FRM or equivalent relevant qualifications. ...

practices Time-series forecasting (prices, demand, blend outcomes, scheduling effects) Optimisation/simulation (planning, blending, logistics constraints) Model risk controls (bias/leakage checks, backtesting discipline, monitoring/drift) CI/CD, deployment, monitoring; Docker/Kubernetes. Experiment design and randomised trials. MSc with PhD a plus Personal attributes Analytical ...

learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming ...

present your findings to the desk Write Python and SQL queries to pull, clean and analyse trading and order book data Help with backtesting and research into strategy improvements alongside traders and quantitative developers Reporting & Automation Build and maintain dashboards and reports that track trading KPIs such as uptime, spread ...

your reasoning so a customer's audit or regulator review holds up. Bring rigor to how you validate model changes before they go live: backtesting, sample review, and sign-off discipline that protects the customer's compliance posture. Your Profile 5-7 years as a data scientist in a customer ...

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 ...

present your findings to the desk Write Python and SQL queries to pull, clean and analyse trading and order book data Help with backtesting and research into strategy improvements alongside traders and quantitative developers Reporting & Automation Build and maintain dashboards and reports that track trading KPIs such as uptime, spread ...

Job Description: Quantitative Developer – Risk Technology Position Overview We are seeking a strong software engineer to build and own the equity-volatility risk platform for our global hedge fund. This engineering-first role owns the ...

ideal candidate has a strong technical background with 2–5 years of experience in Java or C++, and a solid track record in backtesting and low-latency trading strategies within a financial context. #J-18808-Ljbffr ...

focusing on C++ and Python performance. Key responsibilities Implement sophisticated trading models in high-performance C++ and Python. Develop and enhance our high-fidelity backtesting and simulation platform. Optimize code for low-latency and high-throughput execution. Assist in the research process by providing a strong engineering and systemsperspective. ...

probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record of developing profitable ML models or quantitative trading strategies in production. Nice to Have ...

Science Level: Developing (Data Science Career Development Framework) Location: London What you'll do Own moderately difficult tickets end to end — analytical investigations, model backtesting, production bug fixes, and pipeline work, with decreasing need for step-by-step direction Debug systematically across our codebases — including repositories you're only partly ...

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 ...

scale datasets Investigating novel approaches to time-series prediction and representation learning Designing experiments and testing hypotheses through rigorous empirical research Building simulation and backtesting frameworks Working with large-scale data and computational infrastructure Translating promising research into robust, systematic investment strategies Exploring new applications of AI, optimisation and scientific ...

betting platforms globally. We have several internal teams with different infrastructure requirements and everything has to work well together and be centrally managed. From backtesting to real time trading systems to long running backend services, we have strong internal support for a wide array of systems critical to the business. ...

Operations Research agenda: combinatorial optimisation, exact and heuristic solvers, and simulation for capacity planning and policy testing Set the bar for validation before launch: backtesting and simulation frameworks that gate models going into production Own the quality of the ML platform and MLOps standards: feature and model pipelines, CI/ ...

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 ...

close collaboration with traders and quants, turning ideas into scalable solutions. You will own development from prototype through daily use, designing data pipelines, backtesting, and monitoring while applying strong Python and statistics foundations to energy markets. #J-18808-Ljbffr ...

then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives ...

join our central Quantitative Research & Analytics team. The role blends rigorous quantitative methods with data science to support investment research and decision making, including backtesting, large datasets, and AI-enabled tools. You will develop frameworks, analyze financial data, and translate findings into actionable insights for investment professionals. #J-18808-Ljbffr ...