Baringa - Senior Quantitative Modeller/Developer - Stochastic Simulations in Power Markets
Requirements
• Essential • Strong understanding of one-factor, two-factor, and multi-factor stochastic processes and their practical application. • 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 and experience working across modelling, advisory, engineering, and client-facing teams. • MSc or PhD in Quantitative Finance, Physics, Mathematics, Statistics, Econometrics, Engineering, Computer Science, or a closely related quantitative discipline. • Desirable • 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. This aligns particularly well with backgrounds such as energy trading analytics and scenario generation. • 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. • What a career at Baringa will give you • Putting People First. • Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: • Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. • Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. • Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. • Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. • Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. • Diversity and Inclusion
Responsibilities
• Lead the design, development, calibration, and validation of Baringa's stochastic simulation models across power, gas, LNG, and other commodity markets. • Develop advanced modelling methodologies including mean-reverting jump diffusion (MRJD), two-factor, and multi-factor stochastic models. • Improve the representation of commodity price behaviour, volatility, market regimes, and structural market change within our modelling framework. • Combine liquid horizon market data with Baringa's long-term fundamental market outlooks to create stochastic simulations that are consistent with our scenario-based simulations. • Research and implement new quantitative approaches for modelling uncertainty, asset valuation, risk assessment, and market behaviour. • Work closely with market modelling specialists, advisory teams, and clients to ensure models remain relevant, credible, and aligned with commercial decision-making. • Partner with software engineers to ensure modelling methodologies are implemented as robust, maintainable, and scalable production software. • Drive model calibration, validation, benchmarking, and ongoing performance monitoring. • Communicate complex quantitative concepts clearly to technical, commercial, and executive audiences. • Contribute to Baringa's thought leadership in quantitative energy market modelling and stochastic simulation.
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