Quantitative Software Developer

As an individual contributor, you will design, build, and maintain robust software systems that support:

• Portfolio optimization & risk modeling
• Trade generation & execution pipelines
• Custom client reporting infrastructure
• Tools to support quantitative research, including exploratory work in AI-based trading models
• This is a unique opportunity for someone who thrives on autonomy and wants to own complex systems end-to-end while collaborating closely with PMs, researchers, quants, and traders.

Ideal Candidate Profile:

We’re looking for smart, curious, and self-driven developers, preferably from buy-side environments (hedge funds, asset managers, prop trading) - with the following background:

• BSc in Computer Science, Math, Statistics, Physics, or related field (Ivy League preferred)
• Strong working knowledge of C or C#
• 3 years of professional experience in software development (finance domain is a plus)
• Solid understanding of algorithms, numerical methods, and basic statistics
• Eager to explore and implement quantitative models and systematic strategies
• Willing and able to work onsite in Manhattan 4 days a week

What We Offer

• Direct exposure to front-office trading and research
• Freedom to explore new ideas and implement your own research tools
• Opportunity to grow into a hybrid quant-dev / quant-research role
• Tight-knit team with a strong engineering and quant culture
• Competitive compensation, including performance-based bonuses