Quantitative Developer

Quantitative Developer

City: New York

Partner with asset allocation PMs and researchers to take ideas from notebook to production: signals, CMAs, optimization, portfolio construction, rebalancing rules, and attribution. Build and extend the team's research platform: data ingestion, back testing, scenario analysis, portfolio construction, monitoring, and reporting. Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal holdings, with quality control the PMs actually trust. Use AI coding agents daily for prototyping, refactoring, testing, review, and documentation. Bring opinions on where they help and where they hurt. Build internal AI-backed tooling for the team where it earns its keep: research workflows, client-reporting drafts, commentary support, meeting prep. Write production code that other quants want to build on. Own reliability, testing, and observability for what you ship. Mentor teammates on effective AI-augmented engineering practice. Carry out other duties as assigned.

What to expect when you join our firm:

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Paid volunteer time to step away from your desk and into the community
• Support to grow through professional development courses, tuition/qualification reimbursement and more
• Maternal/paternal leave benefits and family services
• Complimentary subscription to Headspace – the mindfulness app
• Corporate membership to ClassPass and other health and well-being benefits
• Unique employee events and programs including a 14er challenge
• Complimentary beverages, snacks and all employee Happy Hours

Must have skills:

• Have built industrial-scale enterprise-quality quantitative/systematic models based on specs provided by PM's.
• Have deployed quantitative/systematic models to production at non trivial size.
• Have monitored operational performance of these models and taken ownership of making sure the models behave properly.
• Are familiar with the SDLC (eg testing/deployment)
• Are heavy users of modern AI tools (claude code/codex/opencode/pi/ampcode/factory droid/cursor/cline)
• Have written extensive documentation about the implementation of a model.

Nice to have skills:

• Working knowledge of financial markets preferred
• Knowledge of Excel preferred
• Github (or other version control), CI/CD and/or cloud services experience is beneficial
• Excellent interpersonal, relationship building and customer service skills
• Strong econometrics and statistics background, experience in asset pricing empirical work
• Passionate about financial markets with a curiosity about investing

Supervisory responsibilities: No

Potential for growth: Mentoring, Leadership development programs, Regular training, Career development services, Continuing education courses

Compensation information: The base salary range for this position is $110,000 – $125,000. This range is estimated for this role. Actual pay may be different. This position will be open through June 30, 2026.