Quantitative Software Developer
Alexander Chapman
Job Description
As an individual contributor, you will design, build, and maintain robust software systems that support: 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 #J-18808-Ljbffr