Quantitative Developer

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 ResponsibilitiesRisk 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 Qualifications5+ 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 SkillsExperience 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.If you have a strong quantitative background and a passion for financial risk modeling, apply today! 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 ResponsibilitiesRisk 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 Qualifications5+ 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 SkillsExperience 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.If you have a strong quantitative background and a passion for financial risk modeling, apply today! 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 ResponsibilitiesRisk 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 Qualifications5+ 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 SkillsExperience 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.If you have a strong quantitative background and a passion for financial risk modeling, apply today!

• 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.