Olten, CH | Lausanne, CH - 100% | Full time
About The Role
The Head of Algorithmic Trading Governance is responsible for establishing, governing, and scaling Alpiq's algorithmic trading framework across Asset Trading, Merchant Trading, and Structured Energy Management activities.
The role does not manage a proprietary trading book. Instead, it acts as the business owner and governance lead for algorithmic trading initiatives, ensuring consistency, transparency, performance measurement, risk oversight, and adoption across all trading activities.
Initially focused on intraday and day-ahead algorithmic initiatives supporting Battery Energy Storage Systems (BESS) and Renewable Energy Sources (RES), the mandate will progressively expand to additional portfolios, including hydro assets and future algorithmic trading applications across Alpiq's European trading activities.
The position sits within the Quantitative Analytics team and operates at the intersection of Trading, IT, Risk Management, Compliance, and Data & Analytics.
Your profile
Experience & Market Knowledge
- Deep understanding of European power markets, including Day-Ahead, Intraday, Balancing, and flexibility markets.
- Strong knowledge of trading processes across physical and financial energy portfolios.
- Experience with algorithmic trading, trading automation, optimization, or quantitative energy trading environments.
- Understanding of flexible asset classes such as batteries, hydro, renewable generation, and flexibility portfolios.
- Proven leadership experience with the ability to build, develop, and lead high-performing multidisciplinary teams.
- Strong strategic thinking and problem-solving capabilities, with the ability to translate innovation into scalable business practices.
- Curious, forward-looking, and technology-oriented mindset, with a genuine interest in the future evolution of energy trading and automation.
- Ability to operate effectively in a rapidly evolving environment, balancing long‑term vision with pragmatic execution as markets, technologies, and organizational priorities evolve.
- Excellent stakeholder management and influencing skills, with the ability to navigate across Trading, Quantitative Analytics, IT, Risk, Compliance, and senior management.
- Strong change management capabilities, with experience driving adoption of new tools, processes, and ways of working across an organization.
Quantitative & Technical Expertise
- Strong understanding of algorithm design, quantitative modeling, machine learning applications, and automated execution frameworks.
- Familiarity with Python and modern data analytics environments.
- Ability to challenge and oversee technical developments without necessarily performing day-to-day coding activities.
- Understanding of data architecture, trading systems, and algorithm performance measurement frameworks.
Governance, Risk & Leadership
- Experience establishing governance frameworks, controls, and operational processes.
- Strong understanding of risk management principles and regulatory requirements relevant to automated trading.
- Ability to operate across multiple departments and influence stakeholders without direct hierarchical authority.
- Excellent communication and stakeholder management skills.
- Structured and strategic thinker capable of translating innovation into scalable business practices.
Success Measures
The successful candidate will:
- Establish a robust algorithmic trading governance framework across Alpiq.
- Create full visibility and oversight of all algorithmic trading initiatives.
- Increase algorithm adoption across trading teams.
- Drive standardization and consistency across portfolios and value chains.
- Improve transparency on algorithm performance and value creation.
- Ensure algorithms are deployed safely, efficiently, and in line with risk and compliance standards.
- Position Alpiq to scale algorithmic trading capabilities as a strategic competitive advantage while maintaining clear human accountability for trading decisions.
Your Benefits
Competitive salary package
Market-oriented salary
Training and development
Diverse opportunities for career growth
Flexible work models
Various flexible work models