Senior Derivatives Quant Trader, Portfolio Management

NISA Investment Advisors, LLC

Clayton (MO)

On-site

USD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Health insurance options
Paid time off
Competitive retirement plan
Onsite cafeteria/fitness center
Health and wellness program
Educational assistance program

Job summary

NISA Investment Advisors, LLC is seeking a Senior Derivatives Trading Analyst in Portfolio Management to help build and manage customized client portfolios across derivatives, fixed income, and risk-controlled strategies. You will work at the intersection of finance and technology, learning portfolio construction, risk models, and trading signals.

The role emphasizes quantitative modeling, collaboration with senior team members, and the development of tools to support the investment process.

Qualifications

  • Advanced quantitative degree with strong analytic background.
  • 3+ years asset management experience preferred.
  • Proficiency in quantitative/statistical methods.
  • Experience with portfolio construction and risk models.
  • Ability to work under pressure and communicate clearly.

Responsibilities

  • Construct and manage customized portfolios for institutional clients.
  • Develop quantitative tools for portfolio construction and risk analysis.
  • Collaborate with Derivatives Portfolio Management and technology teams.
  • Leverage models to optimize cross-asset trading and signals.
  • Support development of investment processes and execution workflows.

Skills

Quantitative analysis
Strong communication
Team player
Problem solving under pressure

Education

Bachelor's or Master's in Mathematics/Physics/CS/Statistics

Tools

Python
R
C/C++/C#
Java
SQL
Excel

Job description

NISA Investment Advisors, LLC is seeking a Senior Derivatives Trading Analyst in Portfolio Management to help build and manage customized client portfolios across derivatives, fixed income, and risk-controlled strategies. You will work at the intersection of finance and technology, learning portfolio construction, risk models, and trading signals.

The role emphasizes quantitative modeling, collaboration with senior team members, and the development of tools to support the investment process.

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