AI-Driven Quantitative Research Engineer

Selby Jennings; Westwood (MA); On-site; USD 130,000 - 180,000; Full time

Job summary

Selby Jennings seeks a quantitative professional with 3+ years experience in data and analytics within financial markets. Proficiency in Python, SQL, Power BI, R, and Excel, plus Azure exposure, is essential.

You will develop AI-driven tools, data pipelines, and investment research solutions for internal teams and clients. Responsibilities include integrating AI into research, building production-grade Python tools on Azure, and translating complex results into actionable insights for investment

Qualifications

• 3+ years of experience in quantitative analytical, research, or data-focused roles.
• Strong Python skills with production-level tooling and data pipelines.
• Experience with SQL, Power BI, R, and Excel; Azure cloud exposure.

Responsibilities

• Integrate AI tools into quantitative research, model development, prototyping, and client deliverables.
• Build and maintain Python-based tools and cloud services in Azure, including Azure Functions.
• Develop reliable data pipelines using internal systems, external APIs, and MCP integration's.
• Build and improve statistical, predictive, and quantitative models.
• Partner with development teams to integrate research tools into broader technology platforms.
• Produce data-driven research and analytical across investment and capital markets topics.
• Translate complex quantitative results into clear insights for investment professionals and clients.
• Support Investment Analysts and Consultants with custom analytical requests.
• Stay current on developments in AI, quantitative research, and engineering tools, identifying new ways to apply them.

Skills

Python

SQL

Power BI

R

Excel

Azure

AI tools

Data pipelines

Quant modeling

Statistics

Machine Learning

APIs

Education

Bachelor's degree in a quantitative/technical field

Tools

Azure Functions

Job description

Selby Jennings seeks a quantitative professional with 3+ years experience in data and analytics within financial markets. Proficiency in Python, SQL, Power BI, R, and Excel, plus Azure exposure, is essential.

You will develop AI-driven tools, data pipelines, and investment research solutions for internal teams and clients. Responsibilities include integrating AI into research, building production-grade Python tools on Azure, and translating complex results into actionable insights for investment