Job Description

Job Title: Quantitative Developer
Location: Jersey City, NJ (Hybrid)
Experience Level: Mid-Senior
Education Level: Master's Degree in a Quantitative Discipline
Job Function: Information Technology
Industry: Financial Services
Job Type: Contract

About the Role:
We are seeking a skilled and experienced Quantitative Developer to join our team in a hybrid capacity. This role focuses on research, prototyping, and extending risk models, particularly for ETFs and other financial instruments. The position requires expertise in financial market risk management, quantitative modeling, and advanced programming to deliver innovative solutions.

Key Responsibilities:

• Research and prototype risk models for newly issued ETFs .
• Expand the scope of the Hybrid VaR as a benchmark for existing VaR methodologies.
• Assist in efforts related to NSCC MTM passthrough .
• Facilitate model specification and communicate effectively with stakeholders, including Market Risk and Risk Technology teams.

Qualifications:

• Experience:
  • Minimum 5 years in financial market risk management and quantitative modeling.
  • Hands-on experience developing complex financial models.
• Education: Master's degree in Quantitative Disciplines (e.g., Mathematics, Finance, Economics).
• Technical Skills:
  • Proficiency in SQL .
  • Knowledge of high-level programming languages such as Python , R , or MATLAB is a plus.
• Industry Knowledge:
  • Solid understanding of equity products, particularly ETFs .
• Other Skills:
  • Strong attention to detail and a team-oriented approach.

Additional Details:

• Relocation Assistance: Not available.
• Visa Sponsorship Eligibility: Not available.

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