Head of Quantitative Analytics – Power Markets
Location: Switzerland (Zurich / Geneva / Zug / Lausanne – hybrid possible)
Overview
We are seeking a Head of Quantitative Analytics to build and lead a high-impact quantitative function supporting power trading, origination, and risk across European electricity markets. This role sits at the intersection of trading, data science, and technology, owning the analytical framework that underpins pricing, forecasting, portfolio optimization, and strategy.
The successful candidate will be a hands-on leader with deep experience in European power markets, capable of scaling models, mentoring quants, and partnering directly with senior traders and commercial leadership.
Key Responsibilities
Leadership & Strategy
Build, lead, and scale a quantitative analytics team supporting power trading and commercial strategy
Define the firm's quantitative roadmap across forecasting, pricing, and portfolio analytics
Act as a senior thought partner to trading, origination, and risk leadership
Power Market Analytics
Develop and oversee models for:
Power price forecasting (short-, medium-, and long-term)
Fundamental supply/demand modeling (load, renewables, fuel, interconnectors)
Volatility, congestion, and spread analysis
Support derivatives pricing (options, structured products, term contracts)
Trading & Portfolio Support
Partner closely with traders to improve:
Signal generation and strategy development
Portfolio optimization and asset valuation
P&L attribution and risk decomposition
Translate quantitative outputs into actionable trading insights
Technology & Data
Own analytics architecture, data pipelines, and model governance
Ensure models are production-ready, scalable, and robust
Collaborate with engineering teams on tooling, infrastructure, and performance
Required Experience & Skills
10+ years experience in quantitative analytics within power or energy markets
Strong understanding of European power market fundamentals (e.g. Germany, France, Nordics, Italy, UK)
Proven leadership experience managing senior quants and data scientists
Advanced quantitative background (statistics, applied mathematics, physics, engineering, or similar)
Strong programming capability (Python essential; R / C++ / Julia a plus)
Experience working directly with front-office trading desks
Deep knowledge of power derivatives, structured products, and risk metrics
Karrierestufe
Geschäftsleitung
Beschäftigungsverhältnis
Vollzeit
Tätigkeitsbereich
Analyst und Management
Branchen
Dienstleistungen für erneuerbare Energien