Associate, Quantitative Developer

HarbourVest Partners•Boston, MA

5d•$160,000 - $165,000•Hybrid

About The Position

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. The Associate, Quantitative Developer will be a member of the Quantitative Investment Science team, building both the user-facing applications of our cloud-based investment analytics platform and the foundations beneath them - APIs, backend services, data integrations, and cloud infrastructure. The role spans designing intuitive, data-rich workflows and reusable UI components as well as the services and pipelines that power them. This engineer will translate business requirements into reliable, performant, and maintainable solutions, select the appropriate tools and technologies, and use prototypes to evaluate new approaches. They flourish in an evolving, fast-paced environment and bring a work style marked by technical curiosity, thoughtful problem solving, continuous learning, and collaboration.

Requirements

Strong analytical skills and curiosity about how systems work end to end
Experience building modern web applications and reusable UI components using React and TypeScript
Strong SQL skills, including complex queries and data access patterns
Python experience building enterprise-level, production-quality software
Excellent collaboration skills - you'll work closely with product and development to shape requirements and deliver solutions
Attention to detail and systematic thinking
A love for turning requirements into well-defined, durable systems
Familiarity with data modeling, data management, and data warehouse concepts
Experience developing applications on Azure or comparable cloud environments using Git, CI/CD, and other DevOps practices
3+ years of professional software development experience building data-rich platforms or products
3+ years of SQL using complex queries against large datasets
3+ years of Python and/or TypeScript experience

Nice To Haves

Experience with messaging technologies such as Kafka, Azure Event Grid, or equivalent is a plus
Interest in finance and building efficient products that users love

Responsibilities

Design, build, and maintain user-facing applications and the backend services and APIs that support them
Develop reusable UI components and shared platform capabilities used across applications
Support gradual rollouts and feature flags to ship changes safely as the platform evolves
Build and improve data pipelines and integrations across the platform, and contribute to logical and physical data models
Work directly with product and design to understand problems, shape requirements, and turn them into clear technical designs
Partner with product to review, triage, and resolve issues and defects
Manage delivery expectations and drive projects through completion
Contribute to a strong engineering culture through code review, knowledge sharing, and documentation that lets teams build with confidence
Improve developer tooling, CI/CD, automated testing, and observability (logging, metrics, and telemetry) that keep applications and services reliable