Staff Quantitative Researcher – Energy Trading (f/d/m)

Entrix; München; Vor Ort; EUR 115.000 - 135.000; Vollzeit

Benefits dieser Stelle

Competitive Compensation Package

Annual development budget of €3,000

Health & Sport Subsidy

Public Transportation Subsidy

Lunch/Dinner Allowance Vouchers

Work Equipment: MacBook or Windows Laptop

Regular Team Events

Zusammenfassung

Entrix is looking for an experienced Quantitative Researcher to enhance its algorithmic trading capabilities, particularly in European power markets. You will oversee the alpha generation pipeline and mentor data scientists while shaping the technical vision for our trading systems.

The ideal candidate has over 7 years of experience in quantitative research, particularly in trading algorithms, and possesses strong skills in Python and machine learning techniques. The position operates from Munich, Germany, offering a competitive compensation package.

Qualifikationen

• 7+ years of experience in quantitative research or applied data science.
• Proven track record of P&L contribution from strategies.
• Strong expertise in Python and software engineering practices.

Aufgaben

• Shape the technical vision for algorithmic trading.
• Research and develop strategies for real-time trading.
• Foster technical excellence by mentoring data scientists.

Kenntnisse

Algorithmic trading

Machine learning

Python

Data science

Ausbildung

University degree in Computer Science, Mathematics, or related field

Jobbeschreibung

Position Summary

We are looking for an experienced Quantitative Researcher to shape how we trade flexibility from our customers' battery assets across European power markets. In this role you will guide the next generation of algorithmic trading at Entrix, owning the alpha generation pipeline behind our algorithms from signal research to live trading and P&L attribution. You will frame ambiguous trading challenges, design systems that combine machine learning and optimization, and mentor data scientists to raise the bar across the team.

Location & Employment

• Location: Munich, Germany
• Employment Type: Full‑Time, indefinite term
• Salary Range: €115,000 – 135,000 per year gross depending on seniority level
• Office-first work setup
• Language Requirement: C1 Level English

Your Responsibilities

• Shape the technical vision and roadmap for our algorithmic trading stack, breaking that vision into work the team can deliver, communicating trade-offs, and driving alignment on methodology, success metrics, and system design.
• Research, develop, and productize forecasts and strategies that generate alpha by trading flexibility in real‑time European energy markets (DAA, IDC, aFRR, etc.), combining ML and optimization techniques to make 24/7 trading decisions.
• Enhance our backtesting, simulation, and P&L attribution capabilities that turn research into live strategies, with rigorous overfitting controls, risk‑adjusted evaluation, and automated testing.
• Foster technical excellence across the team by mentoring data scientists through design and code review, and by championing engineering rigor in code quality, observability, and reproducibility.
• Own the delivery of complex, ambiguous projects from research to production.

Your Profile

• 7+ years industry experience in quantitative research or applied data science, with significant time developing live trading algorithms in energy or financial markets.
• Proven track record of P&L contribution from strategies you researched, backtested, and shipped to live trading.
• Deep understanding of trading mechanics: price formation, market microstructure, execution, slippage, risk, and position sizing.
• Strong fundamentals in time series modelling under non‑stationarity and regime shifts, with disciplined backtesting practice (risk‑adjusted metrics, overfitting controls, walk‑forward validation).
• Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, modular code design, and taking machine learning and/or optimization models from research into production systems.
• Track record of mentoring junior team members and raising the technical bar of the team.
• University degree in Computer Science, Mathematics, Physics, or a related quantitative field.
• Excellent English communication and interpersonal skills.

Skills to Set You Apart

• Direct experience trading battery storage, flexibility, or other assets in European power markets.
• Experience combining machine learning (forecasting, signal generation) with mathematical optimization (LP, MILP, stochastic) in a single production‑level system.
• Experience with financial derivatives (especially options), market making, or HFT systems.

Your Benefits

• Competitive Compensation Package: Including salary, benefits, and potential for growth.
• Professional Development: Annual development budget of €3,000 for coaching, training, books, etc.
• Health & Sport Subsidy: Company‑subsidized sports facility memberships.
• Public Transportation Subsidy: Monthly subsidy for your public transport ticket.
• Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays.
• Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup.
• Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company off‑sites.