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Market Risk - BA/DA
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-18
Listing for:
Software Guidance & Assistance
Full Time
position Listed on 2026-07-18
Job specializations:
-
Finance & Banking
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Responsibilities :
- Risk System Ownership & Optimization:
Manage and refine market risk platforms to ensure robust performance, data quality, and scalability. - Automation & Technical Solutions:
Utilize advanced programming skills (Python, SQL) to automate manual processes and build new risk analytics tools. - Risk Metrics & Reporting:
Compute, analyze, and validate market risk metrics (Value-at-Risk, Stress Tests, Scenario Analysis) for various asset classes. - Data Governance & Analysis:
Act as a data steward to define data quality expectations, validate data integrity, and lead remediation efforts for data risks. - Technical Leadership:
Lead the design, development, and implementation of high-performance, scalable market risk systems. - Strategic Advisory & Leadership:
Collaborate with Front Office, Risk Managers, and Technology partners to define and enforce risk limits, providing actionable insights on volatility and hedging strategies. - Project Management & UAT:
Lead User Acceptance Testing (UAT) for system upgrades, regulatory compliance changes (e.g., FRTB), and new product onboarding - Stakeholder Engagement:
Collaborate closely with Risk Managers, Quants, Front Office traders, and technology teams to ensure risk systems meet business needs. - Process Improvement:
Streamline existing risk reporting processes through automation. - Mentorship:
Guide junior developers and analysts, fostering technical growth within the squad.
- Bachelor's degree in Computer Engineering, Finance, Mathematics, or a related quantitative field.
- 10+ years of experience in market risk management, quantitative risk analytics, or front-office technology within a financial services institution (investment bank, asset manager, or hedge fund).
- Python:
Advanced proficiency - data analysis and automation scripting - SQL:
Advanced - complex query writing and data modeling - Visualization:
Power BI, Tableau, or equivalent BI tools for risk reporting dashboards - 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.
- Familiarity with quantitative finance concepts
- Analytical Problem-Solving:
Ability to decompose complex, ambiguous risk problems into structured analytical frameworks and deliver data-driven solutions that inform senior decision-making. - Communication & Influence:
Exceptional ability to communicate technical risk concepts to diverse audiences - from traders and quants to C-suite executives and regulators - with clarity and conviction. - Leadership & Ownership:
Demonstrates strong ownership mentality; leads by example, drives accountability, and inspires confidence across cross-functional teams. - Adaptability & Resilience:
Thrives in a dynamic, high-pressure environment with competing priorities, regulatory deadlines, and rapidly evolving market conditions. - Stakeholder Management:
Skilled at building and maintaining trusted relationships with senior stakeholders across the Front Office, Risk, and Technology functions. - Continuous Improvement Mindset:
Proactively seeks opportunities to optimize processes, modernize technology, and elevate team performance through innovation and best practices.
- Master's degree preferred.
- Professional certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are a strong advantage.
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