Data Scientist (Commodities) | Top Systematic Fund | London, UK | Hybrid

Selby Jennings; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading global investment firm in London is seeking an experienced Data Scientist specializing in commodities to enhance their data-driven investment strategies. This role focuses on collaborating with trading and research teams, requiring strong Python skills and experience with data engineering in a fast-paced environment. Ideal candidates will have advanced degrees and a demonstrated interest in financial markets. Competitive compensation and hybrid work model offered.

Benefits

Discretionary Bonus

Qualifications

• 3+ years of experience in a data science or data engineering role.
• Experience ideally within a quantitative or financial setting.
• Strong programming skills with data-centric libraries.

Responsibilities

• Collaborate with trading and research teams to design data pipelines.
• Onboard and integrate new datasets with data engineers.
• Develop tools to extract, clean, and aggregate data.

Skills

Python programming

Data engineering

Data analysis

Communication skills

Education

Master's or PhD in Mathematics, Physics, Computer Science, or Engineering

Tools

Pandas

NumPy

Job description

Data Scientist (Commodities) | Top Systematic Fund

Data Scientist (Commodities) | Top Systematic Fund

Selby Jennings London, United Kingdom Apply now Posted 8 days ago Hybrid Job Permanent Discretionary Bonus

Data Scientist (Commodities) | Top Systematic Fund

Selby Jennings London, United Kingdom Apply now

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation.

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation.

About the Role

This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process.

Key Responsibilities

• Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies.
• Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs.
• Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats.
• Lead the end-to-end onboarding of new datasets, from discovery through to deployment.
• Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions.
• Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities.

Ideal Candidate Profile

• 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting.
• Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering.
• Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy.
• Demonstrated interest in financial markets and the application of data to investment research.
• Experience working with both traditional and alternative financial datasets.
• Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
• Comfortable working in a fast-paced, high-performance environment.

If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!

We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.Whether that be Quantitative Analyti...

Senior Data Engineer | High Performing Systematic Hedge Fund Selby Jennings Paris, France

Risk Analyst (m/w/d) Selby Jennings London, United Kingdom

Sales Director - Risk Analytics - Sell Side Selby Jennings London, United Kingdom

Boost your career

Find thousands of job opportunities by signing up to eFinancialCareers today.