Senior Quantitative Modeller/Developer - Stochastic Simulations in Power Markets

The role

You will lead the design, development, calibration, and validation of stochastic simulation models for commodity markets. You will develop advanced modelling methodologies and partner with software engineers to implement scalable production software.

What you will do

• Lead the design, development, calibration, and validation of stochastic simulation models across power, gas, LNG, and other commodity markets.
• Develop advanced modelling methodologies including mean-reverting jump diffusion, two-factor, and multi-factor stochastic models.
• Improve the representation of commodity price behaviour, volatility, market regimes, and structural market change.
• Combine liquid horizon market data with long-term fundamental market outlooks to create stochastic simulations.
• Research and implement new quantitative approaches for modelling uncertainty, asset valuation, risk assessment, and market behaviour.
• Work with market modelling specialists, advisory teams, and clients to ensure model relevance.
• Partner with software engineers to ensure methodologies are implemented as robust, maintainable, and scalable production software.
• Drive model calibration, validation, benchmarking, and ongoing performance monitoring.
• Communicate complex quantitative concepts to technical, commercial, and executive audiences.
• Contribute to thought leadership in quantitative energy market modelling and stochastic simulation.

Required qualifications

• Significant experience developing and applying stochastic simulation models within power, gas, commodity, or financial markets.
• Strong understanding of one-factor, two-factor, and multi-factor stochastic processes.
• Experience designing, calibrating, validating, and maintaining quantitative models used in commercial environments.
• Knowledge of European power markets, trading, and market fundamentals.
• Understanding of spot, futures, OTC, and derivative markets and their application to valuation and risk analysis.
• Experience integrating market data and statistical techniques into practical forecasting, valuation, or simulation frameworks.
• Strong programming skills in Python, including development of maintainable production-quality code.
• Familiarity with software engineering best practices including testing, version control, code review, and collaborative development.
• Ability to explain complex modelling concepts to both technical and non-technical audiences.
• Strong stakeholder management skills.
• MSc or PhD in Quantitative Finance, Physics, Mathematics, Statistics, Econometrics, Engineering, Computer Science, or a closely related quantitative discipline.

Nice to have

• Experience modelling multiple commodities including power, renewables, gas, LNG or carbon.
• Experience with option pricing, risk analytics, portfolio valuation, or trading analytics.
• Experience developing economic scenario generators, stochastic forecasting frameworks, or Monte Carlo-based simulation platforms.
• Experience applying machine learning or statistical learning techniques alongside traditional stochastic modelling approaches.
• Experience taking quantitative research from prototype through to production implementation.
• Exposure to asset valuation, structured transactions, risk management, or energy trading.
• Experience mentoring or leading other quantitative analysts and modellers.

Benefits

• 5 weeks of annual leave.
• 5-Year Recharge benefit: 2 weeks of additional paid leave after 5 years continuous service.
• Hybrid working policy.
• Flexibility around taking unpaid leave.
• 3 Corporate Responsibility Days per year.
• Annual People Fund to support and manage wellbeing.
• Participation in the Baringa Group Profit Share Scheme.

About the company

Baringa is a global consulting firm that partners with leaders to drive change and create value. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms.