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Quantitative Strategies Senior Analyst (2 positions)

NISA Investment Advisors, LLC
St Louis, MO Full Time
POSTED ON 4/6/2025
AVAILABLE BEFORE 5/13/2025
Overview

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $275 billion in fixed income and equity securities and over $146 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply.

Responsibilities

NISA Investment Advisors, LLC seeks 2 (two) Quantitative Strategies Senior Analyst based at our headquarters in St. Louis, Missouri to oversee the design, analysis, and implementation of quantitative investment strategies; synthesize analysis into summary reports and recommendations to senior management; lead efforts to improve infrastructure related to analyzing and implementing quantitative investment strategies; and build infrastructure and capabilities for the future.

Qualifications

  • Master’s degree in a quantitative field of study such as Financial Engineering, Mathematics, Computer Science, or a closely-related quantitative field
  • 2 years of experience as a Quantitative Analyst or related occupation in the investment management industry to include
  • 2 years of the following:
  • direct experience interpreting research produced by Wall Street banks, financial instruments, and market microstructure in concert with computer programming to perform analysis on large quantities of data;
  • deconstructing Wall Street bank systematic strategy rulebooks and the methodologies, financial theories, and techniques utilized by them;
  • analyzing securities including option securities traded in the global interest rate, commodities, currency, and equities markets; and
  • employing computer programming and technologies including Excel/VBA, R, Python, Matlab, SQL, Bloomberg, and Refinitiv

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