Investment Research Engineer

Meketa•Westwood, MA

17h•$150,000 - $180,000•Hybrid

About The Position

Join our dynamic team as an Investment Research Engineer, where you will leverage strong engineering and analytical skills to build internal tools and workflows that support quantitative research and investment decision-making, and enable scalable innovation across our investment platform. This role is ideal for a hands-on, intellectually curious professional who enjoys experimenting with emerging technologies, especially AI-enabled tools, and translating those ideas into scalable, high impact solutions used by investment professionals. The Investment Research Engineer will work as part of a team to support quantitative research, improve access to data, and develop internal tools that enhance the quality, reliability, and speed of our work. This role will help address key operational bottlenecks, including data systems and accessibility. The position will report to the Director of Research.

Requirements

Bachelor’s degree in a quantitative field such as applied mathematics, statistics, data science, econometrics, engineering, or computer science (advanced degree is a plus).
5+ years of relevant experience, ideally including experience building internal analytics tools, research platforms, or production-grade data/analytics workflows.
Strong experience coding in Python, including building production-grade scripts and data pipelines.
Experience with SQL, Power BI, R, and Excel required.
Demonstrated experience deploying code in cloud environments; Azure experience strongly preferred (including Azure Functions or equivalent server less workflows).
Demonstrated experience incorporating AI coding tools (e.g., GitHub Copilot, ChatGPT, Replit, Cursor, ClaudeCode) into workflows.
Familiarity with quantitative methods and machine learning.
Familiarity with economics and capital markets; experience in the investment industry.
Ability to gather, organize, and coordinate data from disparate sources (including internal systems and external APIs).
Strong analytical and problem-solving skills and comfort developing tools end-to-end.
Strong collaboration skills, including the ability to work effectively in cross-functional teams and navigate dependencies with other internal teams.
Demonstrated intellectual curiosity and an innovative mindset, including a willingness to experiment with new tools and approaches and bring practical solutions back to the team.

Nice To Haves

advanced degree is a plus

Responsibilities

Integrate AI-powered tools and techniques into quantitative research, model development, rapid prototyping, and client-facing deliverables, while actively contributing to expanding AI capability and adoption across the firm.
Build, deploy, and maintain Python-based tools and cloud-native services in Azure (leveraging Azure Functions).
Improve data accessibility and reliability by creating reusable methods for extracting, validating, and transforming data from internal systems, external APIs, and Model Context Protocol (MCP) integrations.
Help develop and improve statistical, predictive, and quantitative models, as well as supporting analytics tooling.
Collaborate with our internal development team to support integration of research outputs and tools into broader technology workflows and products.
Produce and present data-driven research or tool outputs on a variety of investment and capital markets topics, as needed.
Translate quantitative model outputs into clear, accessible explanations for investment professionals and clients.
Work with Investment Analysts and Consultants to support unique analytical requests.
Stay up to date with the latest advancements in applied AI, quantitative research methodologies, and engineering tools, and proactively identify opportunities to apply them.