Everet Marsh · 3 hours ago
Hedge Fund – Quantitative Researcher (Alpha)
NYC Metro Area
Full-time
Onsite
Mid, Senior Level
2+ years expEveret Marsh is a multi-strategy hedge fund seeking a Quantitative Researcher to join its New York investment platform. The role involves generating and validating alpha, improving research processes, and collaborating with trading and engineering teams to scale signals reliably.
Staffing & Recruiting
Hiring Manager
Vadzim Valasevich
Responsibilities
Generate alpha ideas: identify inefficiencies, formulate hypotheses, and translate them into testable signals
Build robust research pipelines: dataset construction, feature engineering, and careful treatment of biases/leakage
Run empirical testing: backtests, portfolio construction, transaction cost modeling, and scenario analysis
Improve the production loop: monitoring, decay analysis, model maintenance, and post-trade diagnostics
Collaborate with quant dev/data engineering to harden code, tooling, and data quality
Communicate clearly: research memos, IC-style writeups, and crisp summaries for PM stakeholders
Qualification
Required
2–7+ years in systematic trading, quant research, HFT/market-making research, or strong adjacent ML research with finance exposure
Strong programming (Python; plus C++/Java is a plus depending on stack)
Solid statistics and experimentation mindset (out-of-sample rigor, robust validation)
Comfort working with large/alternative datasets and building repeatable pipelines
Clear judgement: understands when results are real vs. noise, and can explain it simply
Preferred
Experience with market-neutral equity signals, execution-aware research, or macro/rates datasets
Prior exposure to pod-style environments or systematic portfolio construction
Advanced degree (MS/PhD) in CS/Stats/Math/Physics/Engineering (helpful, not mandatory)
Benefits
Competitive compensation with performance-linked upside
Company
Everet Marsh
Everet Marsh is a market leading executive search firm within Financial and Professional Services sector.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase