Quantitative Developer

Right Hire Consulting LLC; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Right Hire Consulting LLC seeks a Quantitative Risk Analyst to support risk modeling, financial analysis, and market risk assessment for ETFs. The contract role offers exposure to leading risk management teams and implementation of Hybrid VaR models.

The ideal candidate has 5+ years of experience in financial market risk management, a Masters in a quantitative field, and strong SQL plus Python/R/Matlab skills. You will collaborate with Market Risk and Risk Technology teams.

Qualifications

• 5+ years in financial market risk management and quantitative modeling.
• Masters degree in a quantitative field (Finance/Math/Statistics).
• Proficiency in SQL and at least one programming language (Python/R/Matlab).
• Experience developing and implementing complex financial models.
• Strong knowledge of equity markets and ETF structures.
• Detail-oriented team player with strong analytical skills.

Responsibilities

• Risk Model Development: Research and prototype risk models for ETFs.
• Hybrid VaR Expansion: Extend Hybrid VaR as benchmark for VaR methodologies.
• MTM Passthrough Support: Assist in NSCC MTM passthrough efforts.
• Stakeholder Collaboration: Communicate model specifications with Market Risk and Risk Technology teams.

Skills

Quantitative analysis

Financial market risk management

Risk model development

ETFs

SQL

Python

R

Matlab

ETF knowledge

Stakeholder communication

Education

Master's degree in Finance/Math/Statistics

Tools

Python

R

Matlab

SQL

Job description

We are seeking a highly skilled Quantitative Risk Analyst to support risk modeling, financial analysis, and market risk assessment for ETFs. This contract role offers the opportunity to work with leading risk management teams and contribute to innovative Hybrid VaR models. The ideal candidate will have expertise in financial modeling, quantitative analysis, and SQL programming.

Key Responsibilities

• Risk Model Development: Research and prototype risk models for newly issued ETFs.
• Hybrid VaR Expansion: Extend Hybrid VaR as a benchmark for existing Value-at-Risk (VaR) methodologies.
• MTM Passthrough Support: Assist in NSCC (National Securities Clearing Corporation) MTM passthrough efforts.
• Stakeholder Collaboration: Communicate model specifications effectively with Market Risk and Risk Technology teams.

Required Qualifications

• 5+ years of experience in financial market risk management and quantitative modeling.
• Masters degree in a quantitative discipline (Finance, Mathematics, Statistics, or a related field).
• Proficiency in SQL and at least one high-level programming language (Python, R, Matlab, etc.).
• Hands-on experience in developing and implementing complex financial models.
• Strong knowledge of equity markets and ETF structures.
• Detail-oriented team player with excellent analytical and problem-solving skills.

Preferred Skills

• Experience working with VaR methodologies and financial risk frameworks.
• Strong background in quantitative research and statistical modeling.
• Prior experience in market risk teams within financial institutions.

Why Join Us?

• Work on cutting-edge financial models impacting risk management strategies.
• Collaborate with top-tier risk professionals and industry experts.
• Opportunity for contract extension based on performance.