Quantitative Risk Analyst (f/m/d)

Responsibilities

• Work in a highly experienced, collaborative, international, fun team that sits at the heart of E.ON’s new energy trading and procurement unit.

• Help shape the quantitative risk management function for a fast-growing trading portfolio spanning power, gas, options, complex financial and physical derivatives, and structured customer business.

• Take end-to-end ownership of models: from idea and research, through prototype, to robust, cloud-native production implementation.

• Develop, maintain, and enhance quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfolios.

• Design and run Monte Carlo and scenario simulations (e.g. for P&L, exposure, stress and what-if analyses) to support decision-making on transaction, portfolio, and business level.

• Implement models and analytics in Python as part of a modern cloud-native stack (e.g. Azure, containerized services, Snowflake-based data platform), following clean code and DevOps practices (Git, CI/CD, testing).

• Use and further develop data-driven and ML-inspired approaches (e.g. time series models, tree-based models, regularization, feature engineering) where they add value to risk management and pricing.

• Closely collaborate with Trading, Market and Credit Risk, Finance and Tech in agile projects to solve real business problems and deliver tangible value.

• Translate complex quantitative concepts into clear, actionable messages for senior, non-technical, and executive stakeholders and continuously explore new methods and research in risk modelling, quantitative finance and data science – and bring the most useful ideas into our production landscape.

• Mentor juniors, working students and interns, helping them grow their quantitative, coding and business skills.

What you bring

• A Master’s or PhD in a quantitative field (Mathematics, Physics, Statistics, Financial Mathematics, Computer Science, Engineering or similar).

• 3+ years of experience in quantitative risk modelling, valuation, or pricing – energy trading experience is a strong plus, but we’re also open to candidates from other asset classes with genuine interest in power & gas.

• Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks.

• Solid understanding of stochastic processes, Monte Carlo simulation, and time series analysis; familiarity with derivative pricing, valuation and risk metrics (e.g. VaR, ES, sensitivities) is highly welcome.

• Practical exposure to data-driven / ML techniques for forecasting, scenario generation or model calibration is a plus.

• Experience working with databases and cloud / data platforms (SQL, Snowflake, Azure, or similar) is a plus.

• Excellent analytical and problem-solving skills, with a pragmatic mindset and strong attention to detail.

• A self-starter, hands-on mindset: you enjoy taking ownership, working in cross-functional teams and driving topics from idea to implementation in a dynamic environment.

• Willingness to work collaboratively: Pair coding, Code reviews
• Very good communication skills in English (German and Italian are a plus) and the ability to explain complex topics to non-quants.

To keep you motivated and healthy we are offering you the following benefits:

• Flexibility: hybrid work model, flexible working times, sabbatical or additional vacation opportunities allowing great work-life balance
• Working from abroad: up to 20 days in the European economic area
• Flat hierarchies: interdisciplinary and very cooperative working style providing room for own ideas
• Modern work environment: workplace according to digital and ergonomic standards
• Personal growth: life-long independent learning making use of a broad range of opportunities working with the newest technology and state of the art trainings
• Family service support: services in the areas of childcare, holiday care, nursing support or everyday assistance
• Nutrition & Health: wide selection of fresh meals and drinks in our subsidized bistro and canteen as well as various health offers (e.g. physiotherapy, flu vaccinations, mental health)
• Corporate Benefits: employee share program, pension scheme, employee discounts, special insurances (and much more)
• A central location: very good public transport connection, free parking and charging points for e-vehicles
• Individual mobility: private car and bicycle leasing