Quantitative Developer - NYC

Quantitative Developer — Research Engineering (On-site, NYC)

About the role

Join a top-tier systematic trading organization scaling a research–engineering bridge to move ideas from prototype to production at speed. You’ll sit on the desk with researchers and traders, build the tooling that powers signals and portfolios, and see immediate commercial impact. On-site 5 days/week in New York. Visa sponsorship available. Hiring at scale.

What You’ll Do

Build research platforms: backtesting & simulation frameworks, reusable libraries, and reproducible workflows.

Ship production pipelines: signal generation, data ingestion/validation, model training/serving, and monitoring.

Enable portfolio construction & execution: tools that connect research to live risk, cost, and liquidity constraints.

Own end-to-end projects: from problem framing with QRs/PMs implementation production iteration.

Operate on fast loops: adapt systems to fluid markets; prioritize commercial value and reliability.

What You’ll Bring

1+ years in quantitative development or back-end/software engineering with evidence of end-to-end ownership.

Proficiency in Python (and/or similar languages) and comfort with performant, production-grade code.

Strength in systems thinking: data models, testing, infra, and reliability at scale.

Communication & commerciality: translate technical trade-offs into business outcomes.

Nice signals (any one helps): rigorous CS/Math background, high GPA, notable internships/return offers, Olympiad/research/accelerated graduation.

Why This Seat

Direct impact: your tools shape how research is done across the organization.

Scope & autonomy: small, agile teams; rapid feedback; clear linkage to P&L.

Resources + speed: world-class compute, data, and engineering partners—without bureaucracy.

Logistics & Comp

Location: New York City — on-site 5 days/week (no remote).

Compensation: $400K–$1.5M

Headcount: multiple roles open (scaling team).

Visa: All common visas sponsored (transfers supported). #J-18808-Ljbffr