Senior Market Risk Analyst

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Senior Market Risk Analyst

Work Mode: Hybrid

Pay Rate Range: $ 84.00 - $ 89.00 Negotiable based upon years of experience

Responsibilities:

• Manage and refine market risk platforms to ensure robust performance, data quality, and scalability.
• Utilize advanced programming skills (Python, SQL) to automate manual processes and build new risk analytics tools.
• Compute, analyze, and validate market risk metrics (Value-at-Risk, Stress Tests, Scenario Analysis) for various asset classes.
• Act as a data steward to define data quality expectations, validate data integrity, and lead remediation efforts for data risks.
• Lead the design, development, and implementation of high-performance, scalable market risk systems.
• Collaborate with Front Office, Risk Managers, and Technology partners to define and enforce risk limits, providing actionable insights on volatility and hedging strategies.
• Lead User Acceptance Testing (UAT) for system upgrades, regulatory compliance changes (e.g., FRTB), and new product onboarding.
• Collaborate closely with Risk Managers, Quants, Front Office traders, and technology teams to ensure risk systems meet business needs.
• Streamline existing risk reporting processes through automation.
• Guide junior developers and analysts, fostering technical growth within the squad.

Requirements:

• Minimum 10 years of experience in market risk management, quantitative risk analytics, or front-office technology within a financial services institution.
• Demonstrated track record of leading complex, cross-functional technology programs in a risk or trading environment.
• Hands-on experience with the full software development lifecycle (SDLC) in a risk technology context.
• Deep understanding of financial products across asset classes: Equities, Fixed Income, Foreign Exchange, Commodities, and Derivatives.
• Strong command of market risk methodologies: VaR (Historical, Monte Carlo, Parametric), Expected Shortfall (ES), Greeks, Stress Testing, and Scenario Analysis.
• Solid knowledge of regulatory frameworks: FRTB, Basel III/IV, CCAR, ICAAP, and applicable local regulatory requirements.
• Advanced proficiency in Python for data analysis and automation scripting.
• Advanced SQL skills for complex query writing and data modeling.
• Bachelor’s degree in Computer Engineering, Finance, Mathematics, or a related quantitative field. Master’s degree preferred.

Preferred Skills:

• Professional certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are a strong advantage.
• Experience with visualization tools like Power BI, Tableau, or equivalent BI tools for risk reporting dashboards.