Senior Software Engineer- Quantitative Developer, Information Technology

NISA Investment Advisors, LLC•Clayton, MO

About The Position

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $298 billion in fixed income and equity securities and over $172 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply. As a Senior Software Engineer- Quantitative Developer in the Investment Risk and Analytics team, you will design and build the infrastructure that powers NISA's analytics and quantitative research workflows. Working closely with portfolio analysts, traders, and quant researchers, you will develop the tooling behind feature engineering frameworks, backtesting infrastructure, and model deployment - enabling the research team to move faster and with greater confidence. You will also work with teams to develop the core analytical systems to support risk and valuation tools. As a senior member of the Investment Risk and Analytics team within NISA’s IT department, you will lead development efforts, participate in design and code reviews, collaborate with other teams, and mentor junior teammates.

Requirements

Bachelor's degree or equivalent experience in a field requiring strong analytical and quantitative skills, such as Computer Science, Engineering, Mathematics, Finance, or Information Systems
5+ years of development experience including 3+ years of using Python (expertise in other high-level languages considered)
Experience designing queries and data structures to support and manage analytical model development
Experience collaborating with quantitative researchers, data scientists, or similar technical stakeholders
Ability to analyze results and detect data quality issues and their root causes

Nice To Haves

Experience building solutions using public cloud platforms (AWS, Azure, GCP) preferred
Familiarity with quantitative finance workflows — backtesting, feature engineering, factor research, or portfolio analytics is a plus
Experience with unit testing and CI/CD practices preferred
Familiarity with data science is a plus
Working knowledge of modern application frameworks is a plus
Previous professional experience in financial services sector is a plus

Responsibilities

Design and build the infrastructure that powers NISA's analytics and quantitative research workflows.
Develop the tooling behind feature engineering frameworks, backtesting infrastructure, and model deployment
Develop the core analytical systems to support risk and valuation tools.
Lead development efforts, participate in design and code reviews, collaborate with other teams, and mentor junior teammates.