E.ON Energy Markets GmbH

Master Mathematics / Physics as Quantitative Analyst – Risk & Pricing (f/m/d)

Stellenbeschreibung:

E.ON Energy Markets GmbHE.ON Energy Markets GmbH (EEM) is a subsidiary of the E.ON Group based in Essen. Our main purpose is to coordinate access to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of diversity matters. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse company culture! To create equal opportunities for everyone we offer our positions in full or part-time.Ready to become a Playmaker of the energy transition? Join our team in Essen and apply online as Quantitative Risk Analyst (f/m/d). Are you brave enough to drive progress and forge new paths? Let’s make it work and create real impact together. We can’t wait to meet you! It’s on us, to make new energy work.ResponsibilitiesWork in a highly experienced, collaborative, international, fun team that sits at the heart of E.ON’s new energy trading and procurement unitHelp shape the quantitative risk management function for a fast-growing trading portfolio spanning power, gas, options, complex financial and physical assets, and structured customer businessTake end-to-end ownership of models: from idea and research, through prototype, to robust, cloud-native production implementationDevelop, maintain, and enhance quantitative risk and pricing models for market, credit, and liquidity risk, including simulation and valuation tools for complex energy portfoliosDesign 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 levelImplement 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 pricingClosely collaborate with Trading, Risk, Finance and Tech teams in agile projects to solve real business problems and deliver tangible valueTranslate 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 landscapeMentor juniors, working students and interns, helping them grow their quantitative, coding and business skillsWhat you bringA 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 & gasStrong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooksSolid 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 welcomePractical exposure to data-driven / ML techniques for forecasting, scenario generation or model calibration is a plusExperience working with databases and cloud / data platforms (SQL, Snowflake, Azure, or similar) is a plusExcellent analytical and problem-solving skills, with a pragmatic mindset and strong attention to detailA self-starter, hands-on mindset: you enjoy taking ownership, working in cross-functional teams and driving topics from idea to implementation in a dynamic environmentWillingness to work collaboratively: Pair coding, Code reviewsVery good communication skills in English (German and Italian are a plus) and the ability to explain complex topics to non-quantsTo keep you motivated and healthy we are offering you the following benefitsFlexibility: hybrid work model, flexible working times, sabbatical or additional vacation opportunities allowing great work-life balanceWorking from abroad: up to 20 days in the European economic areaFlat hierarchies: interdisciplinary and very cooperative working style providing room for own ideasModern work environment: workplace according to digital and ergonomic standardsPersonal growth: life-long independent learning making use of a broad range of opportunities working with the newest technology and state of the art trainingsFamily service support: services in the areas of childcare, holiday care, nursing support or everyday assistanceNutrition & 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-vehiclesIndividual mobility: private car and bicycle leasingInklusionUns ist wichtig, Menschen mit Behinderung ein faires Bewerbungsverfahren zu ermöglichen, in dem sie ihr Bestes zeigen können. Daher wird unsere Schwerbehindertenvertretung frühzeitig in das Verfahren einbezogen. Bitte teile uns über das Bewerbungsformular mit, ob du technische oder organisatorische Anpassungen für das Bewerbungsverfahren benötigst. Wir stellen diese gern zur Verfügung.Wenn es dir nicht möglich ist, dich online zu bewerben und du stattdessen mit jemandem sprechen möchtest, kontaktiere bitte deinen lokalen Recruiter.
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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Apr 2026
  • Standort:

    Essen

    Einsatzort:

    Essen, München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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