Quantitative Power Trader

Ingrid; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Ingrid in Stockholm is seeking a Quantitative Power Trader to own intraday trading strategies for its BESS and renewable portfolio. You will design and backtest models, build production-ready code with the engineering team, and stay close to the market through day shifts to ensure strategies perform as intended.

You'll optimize revenue across ancillary, day-ahead, and intraday markets, monitor live results, report performance and risk, and participate in scenario testing for new geographies or

Qualifications

• Proven modelling experience in energy, with direct exposure to European intraday power markets.
• Strong forecasting, optimization, and pricing across ancillary, day‑ahead, and intraday markets, with intraday focus.
• Familiarity with market design, regulatory frameworks, power fundamentals, volatility, and market dynamics.
• Strong programming capability (Python required; SQL and data pipelines or model deployment a plus).
• Advanced degree (MSc or PhD) in a quantitative field such as Engineering, Applied Mathematics, Physics, or similar.

Responsibilities

• Design, backtest, and continuously improve intraday trading algorithms — arbitrage and proprietary strategies — applying revenue‑optimization thinking across ancillary, day‑ahead, and intraday markets so strategies fit the portfolio’s full revenue stack.
• Execute trades with discipline and strong market feel while adhering to risk limits and governance frameworks.
• Build and maintain quantitative models for price forecasting, degradation‑adjusted cycling economics, and cross‑market arbitrage (ancillary vs. wholesale vs. tolling).
• Monitor the performance of Ingrid’s automated trading platform, pinpointing where live results deviate from the theoretical optimum and diagnosing why.
• Collaborate closely with the engineering team to translate strategy logic into production code — this is not a hand‑off‑and‑wait role.
• Conduct scenario and stress‑testing ahead of new market entries (new geographies or products).
• Report on trading performance and risk exposure to leadership, including drawdown explanations and capacity utilisation metrics.
• Take part in day‑time trading shifts, with occasional weekend coverage to monitor live strategy performance.

Skills

Quantitative modelling

Forecasting

Optimization

Market knowledge

Python

SQL

Education

MSc or PhD in quantitative field

Tools

Git

Jupyter

Pandas

Job description

About the role

As Quantitative Power Trader, you’ll own the intraday trading strategies at the heart of Ingrid’s BESS and renewable portfolio — building the arbitrage and proprietary strategies that turn market volatility into revenue. You’ll design, build, and refine the models and algorithms behind them, working hand-in-hand with our engineering team to get them into production, and staying close to the market through day‑time trading shifts that keep you grounded in how your strategies actually perform. Intraday is the focus, but never in isolation: you’ll bring a broader view of how we optimize BESS revenue across ancillary, day‑ahead, and intraday markets, so your strategies are tuned to the portfolio’s full revenue stack — not just one piece of it.

Responsibilities

• Design, backtest, and continuously improve intraday trading algorithms — arbitrage and proprietary strategies — applying revenue‑optimization thinking across ancillary, day‑ahead, and intraday markets so strategies fit the portfolio’s full revenue stack.
• Execute trades with discipline and strong market feel while adhering to risk limits and governance frameworks.
• Build and maintain quantitative models for price forecasting, degradation‑adjusted cycling economics, and cross‑market arbitrage (ancillary vs. wholesale vs. tolling).
• Monitor the performance of Ingrid’s automated trading platform, pinpointing where live results deviate from the theoretical optimum and diagnosing why.
• Collaborate closely with the engineering team to translate strategy logic into production code — this is not a hand‑off‑and‑wait role.
• Conduct scenario and stress‑testing ahead of new market entries (new geographies or products).
• Report on trading performance and risk exposure to leadership, including drawdown explanations and capacity utilisation metrics.
• Take part in day‑time trading shifts, with occasional weekend coverage to monitor live strategy performance.

Qualifications

• Proven quantitative modelling experience in the energy sector, with direct exposure to European intraday power markets, either through trading or strategy development.
• Strong grasp of forecasting, optimization, and pricing across ancillary, day‑ahead, and intraday markets, with the intraday market as your core focus.
• Familiarity with market design and regulatory frameworks, plus a sharp feel for power fundamentals, volatility, and market dynamics.
• Strong programming capability (Python required; SQL and experience with data pipelines or model deployment a plus).
• Comfortable working with large, complex datasets, with the analytical rigor to match.
• Advanced degree (MSc or PhD) in a quantitative field such as Engineering, Applied Mathematics, Physics, or similar.

Your personal skills

• Ownership and self‑leadership — taking initiative and full responsibility to drive and own your domain, and to bring concepts through to commercial execution.
• Diligence and expertise — working persistently and thoroughly to become the subject matter expert.
• Business acumen and commercial drive — understanding the commercial perspective behind every strategy.
• Analytical and strategic thinking — precision in forecasting paired with big‑picture judgement.
• Communication and collaboration — clear with stakeholders, generous with knowledge across teams and disciplines.
• Adaptability and agility — thriving in a fast‑paced, dynamic environment.