Quantitative Modeling Expert - Risk & Pricing (f/m/d)

E.ON Energy Markets GmbH | Unbefristet | Teil- oder Vollzeit 

E.ON Energy Markets GmbH is a subsidiary of the E.ON Group based in Essen. Our main task is to coordinate access to the trading markets for our regional business units, to bundle the associated opportunities and risks and to provide innovative services. Our core competences include portfolio strategies, risk management and data processing. With a presence in various European countries, we are shaping the future of energy.

Diversity counts at E.ON. We welcome all people and believe that differences make us stronger. Become part of our inclusive and diverse corporate culture! In order to create equal opportunities for all, our positions can be filled on a full-time or part-time basis.

Seize the opportunity to become part of our E.ON Energy Markets GmbH team in Essen at the earliest possible date and apply online now as Quantitative Modeling Expert - Risk & Pricing. Create prospects not only for the future of E.ON, but also for your own. We can't wait to meet you, because none of us is as strong as all of us.

Your tasks

• Research and Innovation: Apply your advanced quantitative skills by developing and enhancing risk models that assess and price market, credit, and liquidity risks within our energy trading and customer portfolios.
• Collaborative Model Development: Work alongside seasoned quants and cross-functional teams to design, test, and implement cutting-edge models using Python, focusing on scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset.
• Data Analysis and Insights: Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes.
• Continuous Learning and Sharing: Engage in continuous professional development through our internal programs, workshops, and seminars, while also contributing to the knowledge base by sharing your unique insights and research findings.
• Digital Transformation Contribution: Be an integral part of our digital transformation journey, leveraging the latest in cloud computing and machine learning to develop innovative risk management tools and platforms.

Your profile

• Educational Background: MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field.
• Technical Expertise: Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and time series analysis.
• Specialized Knowledge: A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable.
• Innovative Mindset: A passion for research, problem-solving, and the application of quantitative finance and machine learning techniques in real-world scenarios.
• Communication Skills: Ability to distill complex quantitative findings into clear, actionable insights for both technical and non-technical stakeholders.
• Team Collaboration: Eagerness to contribute to a team-oriented environment, with a strong focus on collaborative innovation and mutual professional growth.

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

Do you have any questions?

For more information, please contact Linda Sloboda, linda.sloboda@eon.com. Or are you already convinced that this is the next step in your career? Then register now and apply online (job ID 225089). Just a quick note: Please only apply via our official application portal. Unfortunately, we cannot consider applications by e-mail. Thank you for your understanding!

What else you should know

Type of employment: Unbefristet

Work model: Hybrid

Degree of employment: Teil- oder Vollzeit

Company: E.ON Energy Markets GmbH

Work location: Essen

Functional area: Data / IoT

Please understand that we cannot accept applications by e-mail.