Quantitative Risk Analyst

E.ON

full-time

Posted on:

Location Type: Hybrid

Location: Essen • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudNumpyPandasPythonScikit-LearnSQL

About the role

  • Work in a highly experienced, collaborative, international and enjoyable team at the core 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 prototyping, 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, exposures, stress tests and what-if analyses) to support decision-making at transaction, portfolio and business levels
  • 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
  • Collaborate closely 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 — bringing the most useful ideas into our production landscape
  • Mentor juniors, working students and interns, helping them grow their quantitative, coding and and business skills

Requirements

  • Master’s degree or PhD in a quantitative discipline (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 are also open to candidates from other asset classes with a genuine interest in power & gas
  • Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar)
  • 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 experience with 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 with a hands-on approach: you enjoy taking ownership, working in cross-functional teams and driving topics from idea to implementation in a dynamic environment
  • Very good communication skills in English (German and Italian are a plus) and the ability to explain complex topics to non-quantitative stakeholders
Benefits
  • Flexibility: hybrid work model, flexible working hours, sabbatical or additional vacation options enabling a strong work–life balance
  • Working from abroad: up to 20 days within the European Economic Area
  • Flat hierarchies: interdisciplinary and highly cooperative working style providing room for your own ideas
  • Modern work environment: digital and ergonomic standard workplaces
  • Personal growth: lifelong independent learning with a broad range of opportunities, working with the latest technologies and state-of-the-art training
  • Family support services: assistance in childcare, holiday care, nursing support and everyday help
  • Nutrition & health: wide selection of fresh meals and drinks in our subsidized bistro and canteen, plus various health offers (e.g. physiotherapy, flu vaccinations, mental health support)
  • Corporate benefits: employee share program, pension scheme, employee discounts, special insurances (and much more)
  • Central location: excellent public transport connections, free parking and charging points for e-vehicles
  • Individual mobility: private car and bicycle leasing

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
quantitative risk modellingvaluationpricingMonte Carlo simulationtime series analysisstochastic processesdata-driven techniquesmachine learningPythonSQL
Soft skills
analytical skillsproblem-solvingattention to detailcommunication skillscollaborationmentoringself-starterownershippragmatic mindsetcross-functional teamwork
Certifications
Master’s degreePhD