Systematic Commodities Alpha Researcher

Thurn Partners; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Thurn Partners in New York is launching a new systematic alpha research initiative within its central research function. You will build and test days-to-weeks strategies, turning fundamental views and proprietary data into repeatable alpha signals and collaborating with traders to scale these ideas.

The role emphasizes ownership, a quantamental approach, and working in a leading commodities franchise with access to extensive data and a direct research-to-trading feedback loop.

Qualifications

• 3-7 years of quantitative research experience within hedge funds, CTAs, proprietary trading firms or similar environments.
• Quantamental mindset bridging fundamental reasoning and systematic implementation.
• Strong Python and an independent research workflow, including backtesting and performance attribution.
• Experience with medium-frequency strategies (days to weeks) preferred over intraday or long-horizon trends.
• Commodities exposure to US power and gas is a plus.

Responsibilities

• Research, build and test systematic strategies over a days-to-weeks horizon, layered across an established discretionary commodities trading business.
• Collaborate with fundamental traders and analysts to systematise forecasts, views and datasets into repeatable alpha signals.
• Take ownership in a first-hires initiative, shaping the research agenda, tooling and approach.
• Engage with a large data environment spanning fundamentals, flows and market data, with collaboration across research and trading teams.
• Contribute across the full research lifecycle: idea generation, signal construction, backtesting, validation and path to production.

Skills

Python

Quantitative research

Backtesting

Performance attribution

Medium-frequency strategies

Job description

Thurn Partners in New York is launching a new systematic alpha research initiative within its central research function. You will build and test days-to-weeks strategies, turning fundamental views and proprietary data into repeatable alpha signals and collaborating with traders to scale these ideas.

The role emphasizes ownership, a quantamental approach, and working in a leading commodities franchise with access to extensive data and a direct research-to-trading feedback loop.