What are the responsibilities and job description for the Senior Software Engineer- Python, Technology Solutions position at NISA Investment Advisors, LLC?
Overview
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.
Responsibilities
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.
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) 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.
Responsibilities
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.
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 professional software development experience including 3 years of Python
- 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
- 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
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.