Team Lead, Front Office Quants

The position

In this pivotal leadership role, you'll shape Sympower's quantitative trading and optimization strategy across our pan-European portfolio of flexible assets, playing a key role in achieving our ambitious target of 10GW under management.

You'll lead an experienced team of high-calibre quants while maintaining a hands-on approach to drive our Battery Energy Storage Systems (BESS) and Commercial & Industrial (C&I) optimization strategies. This is a unique opportunity for a proven leader to build and shape a world-class quant function, developing trading strategies, sophisticated optimization models and market analysis to unlock value in our portfolio across wholesale markets, frequency regulation, and ancillary services.

As we rapidly expand across European markets, you'll have a significant mandate that will help position Sympower at the forefront of the energy transition.

What is in it for you

We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work.

We offer a market competitive compensation package, including but not limited to:

• 30 Days Paid Holiday Leave

• 1 Day Paid Wellness Leave

• 1 Day Paid Birthday Leave

• Paid Maternity and Partner Leave

• Pawternity Leave

• Mental Health and Wellbeing Support

• Remote Office Budget

• Internet Allowance

• Development Plan & Budget

• Stock Appreciation Rights

• 2 Days Paid Volunteer Leave

Learn about all of our benefits on our careers page.

What you will do

• Team Leadership: Grow, develop, and mentor a team of high-performing Quant Analysts and Traders, fostering a culture of innovation and excellence

• Algorithmic Trading Development: Oversee the design and implementation of algorithmic trading strategies, ensuring robust backtesting and continuous strategy improvement for our BESS & C&I assets across day-ahead, intraday, and ancillary services markets

• Portfolio Optimization: Design and implement sophisticated portfolio optimization strategies maximizing the combined value and optionality of our asset base across different markets and geographies

• Analytics and Pricing: Drive the development of market analysis, pricing models, forward curves, and valuation frameworks for live and prospective BESS/C&I deals, including structuring of tolling agreements and revenue sharing arrangements

• Cross-functional Collaboration: Partner closely with front office teams (24/7 Trading & Operations desk, Portfolio Management, Data/ML, Product, Commercial, and Middle Office

• Risk Modeling: Support the development of quantitative risk models including stress testing of trading strategies, exposure mapping, and risk quantification for trading strategies and structured deals, working closely with the Middle Office risk team

What you’ll need

• Proven team leadership and management experience, with demonstrated experience leading trading-focused quants

• Minimum 5 years of relevant experience in front office Quant functions within an asset optimization or energy trading environment, with exposure to pricing and/or trading flexible assets in European power markets

• Direct experience as a trader or working closely with a trading desk, with solid understanding of front office processes, KPIs, and end-to-end lifecycle of a deal

• Experience in pricing, structuring, and managing physical power deals for BESS or other flexible assets, including tolling agreements, revenue sharing agreements, and other structured products, with strong preference for direct BESS experience

• Experience in algorithmic trading development, including strategy design, backtesting, and implementation in energy markets is a strong plus

• Strong power market modeling and fundamental analysis capabilities, including supply-demand dynamics, price forecasting, and market behavior analysis

• First-hand experience with core trading platform features: algo trading platforms, ETRM (energy trade risk management) systems, PnL and position dashboards, etc.

• Deep knowledge of (short-term) European power markets, energy exchanges, and ancillary services, with direct experience in one or more of our core and expansion markets (Scandinavia, Greece, Eastern Europe) being a significant advantage

• Expertise in power asset modeling (BESS assets strongly preferred) including mastery of modeling techniques, inputs, parameters, and optimization strategies

• Comprehensive understanding of Risk and PnL management in an asset-backed trading context, including hedging strategies and portfolio optimization

• Proficiency in data analytics and programming languages (Python, SQL), with ability to develop and implement quantitative trading strategies

• Experience with optimization tools and interpreting model outputs in collaboration with Data/Machine Learning teams

• Relevant degree in Engineering, Economics, Finance, or related field; postgraduate qualifications or certifications in energy trading are a plus

Who we are

Sympower is accelerating the global transition towards ‘net-zero’ by helping to build smarter, cleaner renewable energy systems. Using our proprietary software platform, we help balance the supply and demand of electricity across international energy networks.

We help businesses, grid operators, asset owners and other energy stakeholders around the world reduce their carbon emissions, integrate more distributed renewable energy resources, and generate new revenue streams by participating in demand-side response services.

Learn more about us in this video.

Since 2022, Sympower has been a certified B Corp, which shows the company is meeting high standards of verified performance, accountability, and transparency across 5 impact areas: governance, workers, community, environment, and customers.

Sympower is an equal opportunity employer. We encourage a diverse workforce and are committed to creating an inclusive environment for all team members.

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MESSAGE TO RECRUITMENT AGENCIES: support for filling this position is not required, so proposals for recruitment services will not be reviewed or responded to.