Senior Software Engineer- Python, Technology Solutions

NISA Investment Advisors, LLC•Clayton, MO

1d•Onsite

About The Position

NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $483 billion in assets under management ($299 billion in physical assets and $184 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams. As a Senior Software Engineer in the Investment Risk and Analytics workstream, you will design, develop, build, and maintain the Python platforms that power NISA’s analytics, quantitative workflows, and risk valuation tools. You will work closely with business counterparts and our quantitative research groups to understand their needs, formulate requirements, design creative and extensible solutions for data distribution, analysis, and modeling for consumption by internal business groups. As a senior member of the Technology Solutions department, you will also 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 professional software development experience
3+ years of Python experience
Extensive experience designing queries and data structures in Postgres, SQL Server, or other relational database platforms
Experience building and operating business-critical systems in production
Experience with building systems that scale, including monitoring and optimizing for computational and/or memory performance
Experience with unit/integration testing frameworks and modern CI/CD practices

Nice To Haves

Experience collaborating with data scientists, quantitative researchers, and other similar technical stakeholders
Experience building solutions using public cloud platforms (AWS, Azure, GCP)
Experience designing & implementing data pipelines to support quantitative research, including but not limited to backtesting, feature engineering, factor research, or portfolio analytics is a strong plus
Familiarity with other high-level languages such as C# or Java
Familiarity with MATLAB
Working knowledge of modern application frameworks
Previous professional experience in financial services sector

Responsibilities

Design, develop, build, and maintain Python platforms for analytics, quantitative workflows, and risk valuation tools.
Work closely with business counterparts and quantitative research groups to understand needs and formulate requirements.
Design creative and extensible solutions for data distribution, analysis, and modeling.
Participate in design and code reviews.
Collaborate with other teams.
Mentor junior teammates.