Fast Switch

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Quantitative Developer

  • Location: New York, NY
  • Type: Contract
  • Job #60199
  • Salary: $115.00 Per Hour

Our client in New York NY is seeking a Quantitative Developer for a hybrid model contract role. Consultant will need to work onsite at least once a week.

Top skills required for the Quantitative Developer
As a Quantitative Developer and an analyst, you will be involved with quantitative model implementation, development, and analysis. The ideal candidate will work with a quant team to enhance ERM’s analytical and reporting capabilities, by designing and developing new tools and risk frameworks.
This is an excellent opportunity to collaborate with the portfolio managers, asset managers, traders and analysts for the general account (through the CIO’s organization) and asset management subsidiaries; and enterprise technology (including data science) teams.
As a W2 contract employee of Fast Switch you are eligible to participate in the following benefits we offer:

  • Our 401(k) has a 3% match that vests immediately.
  • Health, Dental and Vision Insurance
  • Our healthcare plan is a high deductible plan with a health savings account (HSA). The deductions will be withheld pre-tax, saving you taxes on the premium.
  • Short and Long Term Disability insurance is provided to all eligible Team Members.


  • Implement, develop and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes.
  • Design & build scalable components within the major platform that the team is developing and write reusable/extendable code and become a key contributor to the core platform.
  • Automate and expand the use of Moody’s credit risk tools in place today and build risk- reward optimization
  • Strengthen ERM’s use and development of tools and analytics to support derivatives counterparty risk & portfolio concentration risk
  • You will scope and implement modeling, including building out requirements where not yet fully defined or understood. You will be agile, accountable and resilient in driving results
  • Building on MassMutual’s current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital


  • Expertise in Functional, Object-Oriented programming in Python (Using Python only for scripting purposes or Jupyter Notebook testing is not sufficient)
  • Experience in writing complex queries and database programming, preferably PostgreSQL, Microsoft SQL Server and/or MongoDB.
  • Experience building distributed/scalable/robust microservices and knowledge of CI/CD pipelines and automation.
  • Prior implementation knowledge of Amazon S3, lambda and Airflow is highly desirable.
  • Strong quantitative model development & implementation skills and ability to validate analytical results, experience in quantitative risk modeling across a wide range of asset classes
  • Graduate degree in a quantitative discipline

Desired Skills

  • 5-7 or more years of relevant work experience is desirable
  • Master’s degree or PhD in Computer Science, Financial Engineering, Mathematics, Physics, engineering, or similar quantitative discipline is preferred
  • Knowledge and experience working with derivatives and hedging risk management
  • Experience in using Moody’s Analytics credit risk tools is desirable
  • Experience in CECL compliant portfolio credit models
  • Previous experience working on liability driven investing projects within an insurance company is desirable
  • Experience applying machine learning techniques in the financial industry is desirable
  • Master’s degree or PhD in Computer Science, Financial Engineering, Mathematics, Physics, engineering, or similar quantitative discipline is preferred


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