NISA Investment Advisors
Saint Louis, MO•On-Site
CI/CD
Finance
Tooling
Research
Equities
Innovation
Mathematics
Code Review
Investments
Derivatives
Data Quality
Unit Testing
Data Science
Public Cloud
Fixed Income
Tax Exemption
Financial Risk
Self-Motivation
Microsoft Azure
Data Structures
Computer Science
Financial Services
Workflow Management
Amazon Web Services
Information Systems
Feature Engineering
Time Off Management
Software Development
Securities (Finance)
Independent Thinking
Mathematical Finance
Quantitative Research
Intellectual Curiosity
Application Frameworks
Python (Programming Language)
At least 5 years
Posted 4 days ago
This role is STARs-friendly: Skilled Through Alternative Routes.
50% STARs in role.
Description:
Overview
NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed income and equity securities and over $167 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.
Responsibilities
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.
Qualifications
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed income and equity securities and over $167 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.
Responsibilities
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.
Qualifications
- 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
- 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
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Posting ID: 2172
