Quantitative Power Analyst

ZipRecruiter; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

A UK power company seeks a motivated Quantitative Power Analyst to enhance short-term trading models and strategies. Ideal candidates will have a strong quantitative background, at least 5 years in power trading, and Python proficiency. This role involves developing algorithms and optimizing asset performance in trading decisions. Competitive compensation and impactful work environment offered.

Qualifications

• Strong quantitative background with a Master's degree; Ph.D. is a plus.
• 5+ years of relevant experience in short-term power trading or quant analysis.
• Hands-on expertise in developing algorithms for asset optimization.

Responsibilities

• Take ownership over existing models and build new short-term intraday stack models.
• Own and enhance short-term stack forecasting and dispatch models.
• Develop algorithms for optimizing assets in the short-term power market.

Skills

Quantitative analysis

Python proficiency

Asset optimization

Short-term power trading

Time series modeling

Education

Master's degree in computer science, mathematics, engineering, or related field

Job description

Job Description

Quantitative Power Analyst (Data Scientist)
Short Term Intraday Stack Models
Power Trading
London

We are working with one of the UK's leading power companies - generating 10-15% of the UK's electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of and add 500 MW of battery storage, they're building out their data science capability on the trading floor.

We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling.

Top Three Focus Areas

1. Developing algorithms for asset optimisation in short-term power markets.
2. Applying short-term power trading expertise to drive trading desk performance.
3. Building and improving short-term pricing models (eg, stack models, scratch models).

What you'll be doing

• Take ownership over existing models, and building new short-term intraday stack models
• Own and enhance short-term stack forecasting and dispatch models
• Developing algorithms for optimising assets in the short-term power market, including dispatch/stack models used for pricing and trading decisions
• Working directly with the trading desk to support short-term power trading strategies and decisions, ensuring models are commercially relevant and impactful.
• Build intraday trading tools and collaborate on automated strategies
• Apply time series and fundamentals-based modelling to support trading decisions
• Work alongside data engineers to deploy production-grade code
• Mentor others and help embed data science best practices across the team

What we're looking for

• Strong quantitative background; Master's degree in computer science, mathematics, engineering, physics, machine learning, or a related field. Ph.D. is a plus.
• Proficiency in Python and ability to write clean, production-quality code.
• 5+ years of relevant experience in short-term power trading, quant analysis, or algorithmic modelling.
• Strong experience in short-term power trading, with direct impact on trading desk decisions.
• Hands-on expertise in developing algorithms for asset optimisation in the short-term power market.
• Proven experience with stack/dispatch modelling and short-term pricing techniques.
• Experience in power markets, with knowledge of financial markets and trading concepts
• Experience with back testing techniques appropriate to financial market applications
• Experience exploring and extracting insights from heterogeneous multi-dimensional data sets, and presenting complex data visually
• Time series modelling (both machine-learning and econometric approaches)