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Senior Software Engineer- Quantitative Developer, Information TechnologyNISA Investment Advisors • Clayton, North Carolina, United States
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Senior Software Engineer- Quantitative Developer, Information Technology

NISA Investment Advisors
  • US
    Clayton, North Carolina, United States
  • US
    Clayton, North Carolina, United States
Postuler Maintenant

À propos

Senior Software Engineer- Quantitative Developer, Information Technology
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 $462 billion assets under management ($295 billion in physical assets and $167 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- 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's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.
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.
  • Clayton, North Carolina, United States

Compétences linguistiques

  • English
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