MSCI Inc.

Associate, Financial Engineering, Research and Development

MSCI Inc.$84K — $109K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Quantitative Finance or related field.
  • 3 years of experience in financial engineering or related roles.
  • Proficient in Matlab, Python, R, C++, and C# for tool development.
  • Experience with financial pricing and risk models across various asset classes.
  • Familiar with risk methodologies such as stress testing and Monte Carlo simulations.

Responsibilities

  • Conduct portfolio-level risk analysis using Value-at-Risk (VaR) methodologies.
  • Design automated validation frameworks for model validation.
  • Develop and implement validation processes for financial instruments and statistics.
  • Build and maintain validation tools for analytics accuracy.
  • Analyze regression testing for comprehensive asset coverage.
  • Collaborate with teams to review and resolve analytics discrepancies.
  • Utilize Barra factor models for portfolio risk analysis.

Benefits

  • Telecommuting options available according to company policy.
  • Opportunity to work with cutting-edge technologies.
  • Engagement in collaborative team-driven projects.
  • Involvement in diverse financial instruments and asset classes.
Full Job Description
Your Team Responsibilities

MSCI, Inc. seeks Associate, Financial Engineering, Research and Development in Norman, OK to conduct analysis of pricing and risk models for exotic derivatives, fixed income asset classes, credit derivatives, securitized products, and portfolio optimization.

Your Key Responsibilities

Perform portfolio-level risk analysis, including Value-at-Risk (VaR) methodologies. Design and automate validation frameworks using state-of-the-art technologies to support scalable and repeatable model validation. Develop and implement validation processes and procedures for industry-adopted financial instruments, statistics, stress tests, and reporting. Build, maintain, and extend independent validation tools to ensure the accuracy and consistency of outputs produced by analytics engines. Analyze and expand regression testing to ensure comprehensive coverage across asset types and analytics metrics. Collaborate closely with Risk Research and Analytics Development teams on a day-to-day basis to review discrepancies between manual and regression results, clarify specifications, and enhance test coverage. Ensure all daily testing processes run smoothly and work with development teams to investigate and resolve issues as they arise. Apply Barra factor models to analyze asset and portfolio risk under both normal market conditions and stress scenarios. 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 ongoing model validation and risk analysis efforts.

Your skills and experience that will help you excel

REQUIREMENTS: Master's degree or foreign equivalent in Quantitative Finance or a related field and three (3) years of experience in the job offered or related occupation: Utilizing experience with Matlab, Python, R, C++, and C# to design and develop validation tools for valuation and pricing models, stress testing frameworks, Value-at-Risk (VaR) and Expected Shortfall analysis, risk attribution and factor-based risk analysis, and credit risk and sensitivity analysis including Greeks, duration, and convexity; Working with financial pricing and risk models across asset classes, including Generic Bonds, Equities, Equity Options, FX Forwards, Interest Rate Swaps, Futures, fund and Options, to price instruments and calculate comprehensive risk profiles for both cash and derivative products; Utilizing risk methodologies, including stress testing, historical and Monte Carlo simulations, to evaluate market risk for equities, fixed income instruments, and futures and options derivatives; Utilizing Agile development and testing practices, including Git-based version control systems to manage regression test codebases, automated testing tools, and regular updates of market data; Performing automated testing of analytics engines, including building and maintaining Azure DevOps pipelines to automatically execute large-scale XML-based valuation and risk queries; Working with relational databases and datasets, including using SQL including Oracle and SQL Server to query, analyze, and validate raw database records; understanding data ingestion pipelines and supporting data import/export workflows by connecting datasets to platform servers; Liaising across teams to troubleshoot issues including analyzing discrepancies, evaluating root causes, and continuously extending analytical regression tests to ensure complete and efficient coverage across all supported statistics and asset types. Telecommuting and/or working from home may be permissible pursuant to company policies. When not telecommuting, must report to work site.

QUALIFIED APPLICANTS: Please email resume to [redacted] and indicate job code SY070226WEB. NO CALLS.

About MSCI Inc.

MSCI Inc. is a leading provider of investment decision support tools and services to investors globally. The company offers a range of products and services including indexes, analytics, and data to help investors make better investment decisions. MSCI Inc. was founded in 1998 and is headquartered in New York, New York. The company has operations in more than 30 countries and serves clients in over 100 countries. MSCI Inc. is a publicly traded company and is listed on the New York Stock Exchange under the ticker symbol MSCI.
Learn more about MSCI Inc.
Size
4,361 employees
Market Cap
$36.6 billion
Industry
Net Income
$601.8 million
Founded
1998
5 Year Trend
+12.2%
Revenue
$1.6 billion
NASDAQ

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