Quantitative Developer

Overview

Hybrid
Depends on Experience
Full Time

Skills

Quantitative Modeling
Financial Risk
SQL
Python
R
Matlab
ETFs
VaR
Hybrid VaR
Equity Products
Market Risk
MTM (Mark-to-Market)
Risk Analytics
Financial Engineering
Stakeholder Communication
Analytical Skill
Benchmarking
MTM
Management
Finance
Mathematics
Modeling
Recruiting
Statistics
Valuation
Value At Risk
TIM

Job Details

Job Title: Quantitative Developer (Risk Modeling / ETFs)
Location: Jersey City, NJ (Hybrid 3 Days Onsite)
Job Type: Contract (Long-term, Performance-Based Extension)
Experience Level: Mid Senior (10+ Years Preferred)

Job Description:

We are seeking a highly skilled Quantitative Developer with deep expertise in financial risk modeling, especially around ETFs and Hybrid VaR methodologies.

You ll join a high-performance risk modeling team working closely with risk analysts and technology teams to build innovative solutions for managing market exposure and valuation models.

Responsibilities:

  • Design and prototype risk models for newly issued ETFs

  • Expand the scope and benchmarking of Hybrid VaR frameworks

  • Support MTM (mark-to-market) passthrough model development

  • Work cross-functionally with risk and tech teams for model integration

  • Communicate quantitative outcomes effectively across stakeholders

Qualifications:

  • Master s degree in a quantitative field (Math, Stats, Finance, etc.)

  • 5+ years experience in financial market risk modeling

  • Hands-on experience with SQL, and preferably Python, R, or Matlab

  • Solid understanding of equity products, especially ETFs

  • Proven background building complex quantitative financial models

  • Strong interpersonal and analytical skills

    Thank you!
    Tim Arwell
    Sr. Talent Acquisition Specialist | PWSRecruit

    Ext: 405 |

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