Senior Software Engineer- Quantitative Developer, Information Technology

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 - enabling the research team to move faster and with greater confidence.
• Work with teams to 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.

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

Benefits

• Health, dental, vision and life insurance options
• Paid time off
• A competitive retirement plan
• Ongoing education assistance

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position.