4 of 4 Risk Analytics Jobs in London

Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern … search. Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like … RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills More ❯

Opportunities for international collaboration with offices in major global financial hubs A culture that values curiosity, innovation, and career development What You’ll Do Design, build, and maintain advanced risk analytics and reporting platforms used across multiple trading teams Collaborate with global risk and technology professionals to enhance systems supporting multi-asset portfolios Develop and optimise macro … product models, focusing on performance, scalability, and accuracy Provide proactive application and data support for risk managers and analysts Translate prototype models into production-grade tools and deliver ad-hoc analytics to guide risk decisions What You’ll Need Around 5–7 years of professional software development experience, including at least a couple of years working with … technical colleagues A genuine interest in financial markets with prior exposure to macro asset classes like FX, Rates, or Commodities would be a plus Experience working with third-party risk platforms would be beneficial A degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline (postgraduate qualifications welcome) A proactive, detail-oriented approach with enthusiasm for learning and More ❯

Quant Developer - Pricing & Risk Technology Location: London* Function: Trading Technology/Pricing & Risk Development* Reports To: Pricing and Risk Development Lead - London* Type: Full-Time, contract, onsite This global trading and investment group operates across energy, commodities, and financial markets, combining advanced quantitative methods with large-scale technology infrastructure. Its London engineering hub plays a central role … in developing analytics that power Front Office trading, pricing, and risk systems across oil, power, gas, and equity products. Overview The Quant Developer will design, enhance, and maintain Python-based pricing and valuation libraries used across global trading desks. These libraries underpin Real Time and end-of-day risk workflows and ensure consistency between valuation, risk … with a solid grasp of financial mathematics and derivatives pricing, capable of implementing and optimising complex models in a production setting. Key Responsibilities Develop and maintain Python pricing and risk libraries covering vanilla and structured options across commodities and equities. Implement and calibrate models such as Black-Scholes, Heston, SABR, and Monte Carlo-based approaches for structured instruments (APOs More ❯

I am working with a start-up consultancy that specialise in credit risk analytics, modelling and regulatory modelling such as IFRS9 and IRB. They come with the premise of a lean, AI led model that differentiates itself from the traditional consultancy model. UK based with huge growth plans – both national and international. This is purely organic growth led More ❯