Quantitative Developer - NYC

Raydar; New York (NY); On-site; USD 400,000 - 1,500,000; Full time

Benefits offered by this job

Visa sponsorship available

World-class compute and engineering resources

Small, agile teams with rapid feedback

Job summary

A top-tier systematic trading organization in New York City is looking for a Quantitative Developer to enhance research capabilities through robust tooling and platforms. The role offers the opportunity to collaborate directly with traders and researchers to build impactful systems, ensuring a blend of technical proficiency in Python and systems thinking. With potential compensation ranging from $400K to $1.5M, this role emphasizes end-to-end project ownership in a fast-paced environment, working on-site five days a week.

Qualifications

• 1+ years in quantitative development or back-end software engineering with evidence of end-to-end ownership.
• Proficiency in Python and comfort with performant production-grade code.
• Strength in systems thinking: data models, testing, infra, and reliability at scale.

Responsibilities

• Build research platforms: backtesting & simulation frameworks, reusable libraries.
• Ship production pipelines for signal generation and data ingestion.
• Own end-to-end projects: from problem framing to production and iteration.

Skills

Quantitative development

Back-end software engineering

Python

Systems thinking

Communication

Education

Rigorous CS/Math background

Job description

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).