Associate, Financial Engineering, Research and Development

MSCI

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Norman, OK
Salary
$84,000–$109,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $96k
$69k most similar roles pay here $223k

This role pays less than 96% of similar roles. Most pay $140,000–$208,000 — the shaded band above. At the midpoint, this role pays about $96k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About MSCI

MSCI is a US-based provider of investment decision support tools, including equity indexes, portfolio risk and performance analytics, and ESG research used by institutional investors worldwide.

MSCI currently has 14 open roles on FindRole.

Listed pay typically runs $195,000–$250,000 across 14 roles with salary data.

Most-posted roles

View all roles at MSCI

At a glance

TL;DR · Associate, Financial Engineering, Research and Development

Associate, Financial Engineering, Research and Development joins the Research and Development team to conduct analysis of pricing and risk models for exotic derivatives, fixed income asset classes, credit derivatives, securitized products, and portfolio optimization. The role involves performing portfolio-level risk analysis using Value-at-Risk methodologies, designing automated validation frameworks, and building independent tools to ensure analytics engine accuracy. Daily responsibilities include expanding regression testing, collaborating with Risk Research and Analytics Development teams to resolve discrepancies, and applying Barra factor models for risk attribution. Candidates will utilize Matlab, Python, R, C++, and C# to develop tools for stress testing and Greeks analysis. The role also requires experience with SQL, Oracle, and Azure DevOps pipelines while managing data ingestion workflows. This position addresses the technical challenge of ensuring consistent results across diverse financial instruments including equities, options, and swaps.

What you'll do

  • Perform portfolio-level risk analysis using Value-at-Risk (VaR) methodologies for various asset classes.
  • Design and automate validation frameworks to support scalable and repeatable model validation.
  • Develop and implement validation processes for financial instruments, stress tests, and reporting.
  • Build and maintain independent validation tools to ensure accuracy in analytics engine outputs.
  • Expand regression testing to ensure comprehensive coverage across all asset types and metrics.
  • Apply Barra factor models to analyze asset and portfolio risk under normal and stress conditions.
  • Incorporate new factor research into existing models to improve risk attribution and exposure analysis.
  • Produce and review Barra factor reports to assess portfolio exposures and support model validation.

What we're looking for

  • Master’s degree or foreign equivalent in Quantitative Finance or a related field.
  • Three (3) years of experience in the job offered or related occupation.
  • Proficiency in Matlab, Python, R, C++, and C# to develop validation tools for pricing models and risk analysis.
  • Experience with financial pricing and risk models across asset classes including equities, fixed income, and derivatives.
  • Expertise in risk methodologies such as VaR, Expected Shortfall, stress testing, and Monte Carlo simulations.
  • Proficiency in SQL (Oracle and SQL Server) to query and validate raw database records.
  • Experience with Agile development, Git version control, and building Azure DevOps pipelines for automated testing.
  • Ability to perform risk attribution using Barra factor models and analyze portfolio exposure under various market conditions.

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