Quantitative Software Engineer

Quantitative Software Engineer Greenwich, CT (Hybrid) About the Opportunity Our client is a leading quantitative investment management firm that combines technology, data, and research to drive investment decision-making.

The organization utilizes a highly analytical and systematic approach to building innovative investment solutions for institutional and private investors worldwide.

This is an opportunity to join a front-office engineering team responsible for developing the platforms, tools, and infrastructure used by quantitative researchers and portfolio managers.

The team works at the intersection of software engineering, data science, and investment research, building systems that transform complex data and analytics into scalable production solutions.

The Role As a Software Engineer, you will help design and build critical research and investment technology platforms, partnering closely with researchers, data scientists, and investment professionals.

Responsibilities include:Building and enhancing data platforms, orchestration systems, optimization engines, and validation frameworksDeveloping scalable APIs, tools, and infrastructure that support large-scale research and analytics workflowsCreating cloud-native applications that process and analyze millions of data pointsDesigning high-performance simulation and backtesting systems used to evaluate new investment strategiesBuilding bespoke technology solutions that support specialized investment and research initiativesContributing to AI and machine learning-enabled applications that improve research productivity and decision-makingCollaborating closely with quantitative researchers and business stakeholders to translate complex requirements into scalable software solutions This position follows a hybrid schedule, requiring 2–3 days per week onsite in Greenwich, CT.

Qualifications3+ years of professional software engineering experienceStrong Python development experience, including libraries such as NumPy, Pandas, or similar data-focused toolsExperience working with SQL databases, preferably PostgreSQL and/or SQL ServerExposure to AI, machine learning, or agent-based frameworks, particularly as applied to developer productivity and workflow automationStrong software design and object-oriented programming skillsExperience building scalable applications using modern architectural patternsFamiliarity with distributed systems, cloud platforms, microservices, containers, and service-oriented architecturesPassion for writing high-quality, well-tested codeStrong communication skills and ability to collaborate with technical and non-technical stakeholdersAbility to work in a fast-paced, research-oriented environment Nice to HaveExperience within financial services, investment management, trading systems, or quantitative research environmentsExposure to portfolio analytics, optimization, simulation, or financial data platforms What We're Looking ForCollaborative and intellectually curious mindsetStrong problem-solving and analytical skillsDesire to work closely with researchers and business partnersCommitment to quality, transparency, and continuous learningInterest in applying technology to solve complex, data-intensive challenges Compensation & BenefitsBase salary target: $155,000 – $185,000Annual performance-based bonus opportunityComprehensive medical, dental, and vision coverage401(k) programGenerous paid time offAdditional benefits package available This is an excellent opportunity to work on challenging technical problems in a highly collaborative environment where software engineering, data, and research intersect.