Senior Python Software Engineer, Investment Risk Analytics

NISA Investment Advisors, LLC; Clayton (MO); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Paid time off

Retirement plan

Onsite cafeteria

Fitness center

Wellness program

Educational assistance

Job summary

NISA Investment Advisors, LLC is seeking a Senior Software Engineer focused on Investment Risk and Analytics. You will design, develop, and maintain Python platforms that power analytics, quantitative workflows, and risk valuation tools.

You'll work with quantitative researchers and business partners to translate needs into robust data-driven solutions, while mentoring junior engineers and participating in design reviews.

Qualifications

• Bachelor's degree or equivalent with strong analytical/quantitative skills.
• 5+ years of professional software development including 3+ years Python.
• Experience designing queries and data structures in PostgreSQL, SQL Server, or similar relational DBs.
• Production-grade systems: design, build, and operate critical software.
• Experience with scaling, monitoring, and performance optimization; familiarity with CI/CD.

Responsibilities

• Design, develop, and maintain Python platforms powering analytics and risk tools.
• Collaborate with business counterparts and quantitative researchers to gather requirements and deliver extensible solutions.
• Participate in design and code reviews; mentor junior teammates and promote best practices.
• Develop data distribution, analysis, and modeling workflows for internal consumption by stakeholders.

Skills

Python

PostgreSQL

CI/CD

Unit testing

Data pipelines

SQL Server

Education

Bachelor's degree or equivalent in CS/Engineering/Math/Finance/IS

Tools

AWS

Azure

GCP

Job description

NISA Investment Advisors, LLC is seeking a Senior Software Engineer focused on Investment Risk and Analytics. You will design, develop, and maintain Python platforms that power analytics, quantitative workflows, and risk valuation tools.

You'll work with quantitative researchers and business partners to translate needs into robust data-driven solutions, while mentoring junior engineers and participating in design reviews.