Jobs · Finance · Missouri

Derivatives Quantitative Trading Analyst, Portfolio Management

NISA Investment Advisors, LLC · St Louis, MO · Yesterday
Finance$299/hrFull-time

About the role

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 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, offering opportunities to learn from experienced professionals while contributing meaningful work from the outset.

Responsibilities

  • Play a key role in constructing and managing customized portfolios for some of the world’s largest institutional investors.
  • Build a strong foundation in financial markets, portfolio management, and cross-asset trading, gaining exposure to both exchange-traded and over-the-counter derivatives instruments.
  • Focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization, and quantitative trading signals.
  • Contribute to the development and enhancement of tools and technologies that support NISA’s derivative investment process.
  • Work with senior members of the Derivatives team to leverage and incorporate quantitative tools and methods into the investment process, systematically building individualized portfolios to meet clients’ varied risk and return objectives.

Requirements

  • Bachelor’s or Master’s degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics.
  • Asset management experience preferred (1-3 years).
  • Strong academic background and high degree of aptitude in quantitative and analytical thinking.
  • Proficient in techniques and technologies related to quantitative/statistical analysis (Python, R, C/C++/C#, Java), data management (SQL), and Excel.
  • Experience with statistical and/or mathematical modeling.
  • Highly curious and comfortable dealing with unstructured problems.
  • Excellent communication skills.
  • Ability to work successfully in a team environment.
  • Drive to perform at a high level under pressure and time constraints.

Benefits

  • Health, dental, vision, and life insurance options.
  • Paid time off.
  • Competitive retirement plan.
  • Onsite cafeteria and fitness center.
  • Health and wellness program.
  • Educational assistance program.

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