
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Quant Researcher
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a Senior Quantitative Researcher with strong experience in commodities futures to lead alpha research within a pod structure. The role requires ownership of the end-to-end research lifecycle, from signal generation and backtesting through deployment and live monitoring. Success in this environment requires a strong balance of research creativity, engineering discipline, and an understanding of the constraints of a production trading platform.
Responsibilities:
- Research, develop, and deploy systematic trading strategies across global commodities futures markets.
- Generate alpha signals using time-series, cross-sectional, and regime-aware approaches.
- Own signal performance from research through live trading, including ongoing evaluation and refinement.
- Build and maintain Python-based research infrastructure aligned with the pod’s production systems.
- Ensure research is reproducible, scalable, and designed with deployment constraints in mind.
- Work closely with quant developers to transition research into robust, production-ready models.
- Contribute to portfolio construction, capital allocation, and risk management frameworks within the pod.
- Incorporate liquidity, transaction costs, and capacity considerations specific to futures markets.
- Monitor live strategy performance, investigate deviations, and iterate on models as market conditions evolve.
- Partner with the PM to make data-driven decisions on capital allocation and strategy scaling.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications & Experience:


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- 4+ years of experience in quantitative research or systematic trading within a multi-manager or pod-based environment.
- Demonstrated success generating alpha in commodities futures.
- Strong proficiency in Python for research, backtesting, and analytics.
- Deep understanding of commodities futures mechanics, including rolls, term structure, seasonality, and contract specifications.
- Experience working within production constraints typical of multi-manager platforms (risk limits, turnover, capital usage).
- Experience deploying strategies into live trading systems.
- Familiarity with execution and transaction cost modeling for futures markets.
- Exposure to machine learning techniques applied to futures or time-series data.
- Strong communication skills and comfort operating in a lean, high-ownership pod structure.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills