Why This Role Stands Out
This remote Systematic Researcher role offers a unique opportunity to build a new systematic overlay within a leading global commodities trading firm, allowing you to shape the research agenda and leverage deep fundamental expertise. You'll thrive here if you have a quantamental mindset and 3-7 years of quantitative research experience, eager to translate fundamental views into systematic strategies and contribute across the full research lifecycle. Apply now to make a significant impact in this greenfield initiative and advance your career in a collaborative environment.
Quick Overview
Job Description
A leading global trading firm is looking to hire a Systematic Alpha Researcher to join its central research function in London, as part of a new initiative to build a systematic overlay across its established commodities trading business. This is a genuine greenfield mandate: the firm has deep fundamental expertise across power, gas and the wider commodities complex, and is now investing in researchers who can turn those fundamental views and datasets into systematic, medium-frequency strategies.
What you'll do:
- Research, build and test systematic strategies over a days-to-weeks horizon, layered across an established discretionary commodities trading business.
- Work directly with fundamental traders and analysts, systematising their forecasts, views and proprietary datasets into repeatable alpha signals.
- Take real ownership within a first-hires initiative, shaping the research agenda, tooling and approach rather than maintaining someone else's stack.
- Plug into a vast and differentiated data environment spanning fundamentals, flows and market data, with open collaboration across research and trading teams.
- Contribute across the full research lifecycle: idea generation, signal construction, backtesting, validation and the path to production.
Your profile:
- 3-7 years of quantitative research experience within a hedge fund, CTA, proprietary trading firm, trading house or similar environment.
- A quantamental mindset: comfortable bridging fundamental reasoning and systematic implementation, with signals that are economically interpretable.
- Strong Python and a rigorous, independent research workflow, including honest backtesting and performance attribution.
- Experience with medium-frequency strategies (days to weeks) preferred over pure intraday or long-horizon trend.
- Commodities exposure, particularly European power and gas, is a strong plus but not required; intellectual curiosity about these markets is.
Why this role:
This is not a backfill. It is the ground floor of a new systematic effort inside one of the most established fundamental commodities franchises in the market, with direct access to fundamental researchers and data that pure systematic shops rarely see. If you want your research to shape how a business trades rather than sit in a queue of incremental signals, this is designed for exactly that.
Pre-Application:
- This is a full-time, on-site role based in London; fully remote candidates will not be considered.
- Applicants must have the right to live and work in the UK, or be eligible for sponsorship (confirmed case by case).
- Please ensure you meet the required experience range prior to applying.
- Allow 1-5 working days for a response to any job enquiry.
Your application is subject to our privacy policy, found here:
Similar jobs
- HA
System Integration and Qualification Lead
NewHackajob Ltd
Edinburgh, Midlothian🇬🇧£59.5k - £75k/yrHybrid8 minutes ago - HA
EMEA Product Experience Manager - Senior Associate
NewHackajob Ltd
London🇬🇧Hybrid8 minutes ago - WU
Team Supervisor
Wolseley UK Limited
Norwich, Norfolk🇬🇧£29.4k/yrOn-site6 days ago - MF
Digital Process & Implementation Advisor (6month FTC)
NewMcCain Foods (GB) Ltd
Filey, Yorkshire🇬🇧Hybrid33 minutes ago - BG
Research Manager B2B (Hybrid - London or Manchester)
NewBasis Global
london🇬🇧Hybrid3 hours agoMarket Research - BC
Trading Analyst (Sustainability / Biofuels)
NewBramwith Consulting
london🇬🇧£80k/yrHybrid3 hours agoCompliancePower BIReconciliation+2