Demo

Quantitative Developer, Jersey City NJ

Confidential
Confidential Salary
Jersey, NJ Full Time
POSTED ON 4/14/2025
AVAILABLE BEFORE 5/7/2025

Position Summary :

This role offers an opportunity to work in a dynamic financial environment , leveraging quantitative expertise to develop risk models and enhance financial analytics . As a Quantitative Developer , you will play a key role in researching and prototyping risk models for newly issued ETFs , refining Hybrid VaR models , and contributing to market risk initiatives .

The ideal candidate has strong financial modeling experience , expertise in risk management , and proficiency in SQL and other programming languages such as Python, R, or MATLAB. This position requires an individual who is detail-oriented, collaborative, and capable of translating complex financial concepts into actionable insights .

Primary Responsibilities :

  • Research and prototype risk models for newly issued ETFs .
  • Extend the Hybrid VaR model as a benchmark for the existing VaR methodology.
  • Assist in the NSCC MTM passthrough effort , ensuring accuracy and efficiency.
  • Collaborate with Market Risk and Risk Technology teams to define and refine model specifications.
  • Communicate quantitative risk methodologies to key stakeholders effectively.
  • Develop and enhance complex financial models to support market risk analysis.

Qualifications & Skills :

  • 5 years of experience in financial market risk management and quantitative modeling .
  • Master’s degree in a quantitative discipline (e.g., Financial Engineering, Mathematics, Statistics, or a related field).
  • Proficiency in SQL with experience in database querying and manipulation.
  • Experience in at least one high-level programming language such as Python, R, or MATLAB (preferred).
  • Hands-on experience developing and implementing complex financial models .
  • Solid knowledge of equity products , particularly ETFs and their risk characteristics.
  • Detail-oriented and strong team player , capable of collaborating with cross-functional teams.
  • Additional Information :

  • Contract Position – Renewal Based on Performance
  • Remote / Hybrid Work Flexibility (if applicable)
  • Candidates must be able to work independently while collaborating with cross-functional teams.
  • PI261496748

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