Quantitative Risk Analyst (Energy Trading)

TL;DR

Quantitative Risk Analyst (Energy Trading): Developing and enhancing quantitative risk and pricing models for complex energy portfolios with an accent on stochastic processes, Monte Carlo simulation, and time series analysis. Focus on implementing models in a modern cloud-native stack using Python and data-driven/ML approaches to solve real business problems.

Location: Hybrid in Essen, Germany, with up to 20 days working from abroad within the European economic area.

Company

hirify.global Energy Markets GmbH coordinates access to trading markets for hirify.global’s regional business units, bundles associated chances and risks, and provides innovative services in energy.

What you will do

• Work in a highly experienced, collaborative, international team at the heart of hirify.global’s new energy trading and procurement unit.
• Help shape the quantitative risk management function for a fast-growing trading portfolio.
• 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.
• Design and run Monte Carlo and scenario simulations to support decision-making.
• Implement models and analytics in Python as part of a modern cloud-native stack, following clean code and DevOps practices.

Requirements

• 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
• 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.
• A self-starter, hands-on mindset: you enjoy taking ownership, working in cross-functional teams and driving topics from idea to implementation.
• Very good communication skills in English (German and Italian are a plus) and the ability to explain complex topics to non-quants.

Nice to have

• Practical exposure to data-driven / ML techniques for forecasting, scenario generation or model calibration.
• Experience working with databases and cloud / data platforms (SQL, Snowflake, Azure, or similar).

Culture & Benefits

• Flexible hybrid work model, flexible working times, sabbatical or additional vacation opportunities.
• Ability to work up to 20 days per year from anywhere in the European economic area.
• Flat hierarchies with an interdisciplinary and cooperative working style.
• Modern work environment with digital and ergonomic standards.
• Opportunities for personal growth through independent learning and state-of-the-art trainings.
• Family service support for childcare, holiday care, nursing support, or everyday assistance.
• Subsidized bistro and canteen with various health offers (e.g., physiotherapy, flu vaccinations, mental health).
• Corporate benefits including employee share program, pension scheme, and discounts.