Top London Quantitative Analyst Jobs

The Data Analyst will ensure high-quality financial datasets by defining acceptance criteria, probing data quality, and collaborating with various teams. They will act as a subject-matter expert on data products and maintain a catalogue of datasets.

Perform quantitative research and portfolio construction for multi-asset and single-asset solutions. Build high-performance computing algorithms, infrastructure and APIs; develop prediction and forecasting methods using statistical and ML techniques (including Generative AI). Integrate third-party risk models, apply advanced optimization and multi-period simulation, and translate investment frameworks (pension/insurance-focused) into production tools for internal and external stakeholders.

Join PIMCO's Client Solutions & Analytics team in London to support asset allocation, risk management, ALM, and portfolio analytics. Develop and maintain quantitative models and tools, run risk analytics and scenario analysis, produce thought leadership, and use AI-enabled toolkits to streamline client deliverables while managing multiple projects.

Develop, implement and calibrate derivatives pricing models for energy markets (gas, preferably power). Collaborate with trading, structuring, quant dev and quant risk to deliver C++ libraries and Python services for pricing, risk, backtesting and parameter estimation.

Design and own pricing, demand forecast, forward curve and correlation models to value EV charging portfolios. Build and back-test optimisation and trading strategies, model imbalance and settlement risk, and produce scenario/stress analysis. Engineer models for automation and collaborate with backend/data teams to deploy production-quality analytical tools that inform trading and commercial decisions.

Research, develop and implement asset-backed trading strategies and optimization models for large-scale batteries across multiple markets. Build backtesting and parameter-optimization pipelines, improve forecasting and ML models, support revenue simulations, and work with Trading & Portfolio Management to maximize asset performance.

Support Commercial Risk through daily/periodic risk reporting and VAR processes, develop and validate quantitative models for valuation and risk of complex gas and power transactions, perform price time-series analysis, ensure risk data quality, improve risk systems and reporting, and collaborate with traders and stakeholders to operationalise models and deliver ad-hoc analyses.

The Quantitative Research Analyst will research methods to improve trading systems, develop new trading signals, and optimize portfolio performance through quantitative analysis.

The role involves developing analytics infrastructure in Python, conducting quantitative research, analyzing trading strategies, and supporting portfolio management and business development initiatives.