Commodity Researcher

Winton; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

Winton is seeking a quantitative researcher to forecast energy supply and demand within its Investment Management & Research group in London. You will develop models, collaborate with tech and data teams, and translate forecasts into investment signals.

The role emphasizes market-leading energy fundamentals knowledge, Python proficiency, and strong communication within a collaborative environment. An opportunity to influence strategic forecasting and market insights.

Qualifications

• Market leading knowledge of commodity markets fundamentals, supply/demand modelling and data sets.
• Technical skills in data analysis, Python programming and understanding of instrument mechanics.
• Experience translating supply/demand forecasts into investment signals and assessing their value vs benchmarks.
• Excellent leadership and communication skills to operate in a collaborative environment.

Responsibilities

• Develop models to forecast energy supply and demand.
• Liaising with technology and data teams to build infrastructure required for forecasting.
• Iterating quickly by focusing effort on highest value-add components of the supply chain.

Skills

Quantitative research

Python

Forecasting energy markets

Data analysis

Communication

Job description

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.

We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.

We are seeking a quantitative researcher with experience forecasting supply and demand in energy markets to join our Investment Management & Research (IMR) group. The role sits within our Fundamental Commodities strategy and will work closely with the Senior Portfolio Manager. You will work within a collaborative quantitative research structure, leveraging the technology, data, and process resources provided by internal teams.

Your responsibilities will include:

• Develop models to forecast energy supply and demand
• Liaising with technology and data teams to build infrastructure required for your forecasting
• Iterating quickly by focussing effort on the components of the supply chain that are highest value-add for our use case

What We're Looking For:

• Market leading knowledge of commodity markets fundamentals, supply/demand modelling and associated data sets
• Technical skills in data analysis, Python programming and understanding of instrument mechanics
• Some experience translating supply and demand forecasts into investment signals and assessing their value relative to market benchmarks.
• Excellent leadership and communication skills to operate in a collaborative environment and drive the changes required for your strategy

What We Offer:

• World-class infrastructure for developing and operating systematic forecasting of commodity fundamentals
• An exceptional opportunity to learn from others and have a broad impact

Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.