Business Data Analyst

BA/DA -10+ years experience -Part of market risk technology group -Understand market risk concepts (CCAR, FRTB) -Heavy data analysis component -Must be comfortable writing python scripts, using SQL for data analysis, and using tableau for visualizations -Managing stakeholders -Work independently given VP level Job Description: The Market Risk Senior Technical Lead Analyst is a pivotal, hybrid leadership role that sits at the intersection of quantitative risk analytics, risk management, and risk technology engineering — translating complex market risk requirements into robust, scalable, and high-performance technology solutions. This role demands a rare combination of deep domain expertise in market risk methodologies, hands-on proficiency in modern software engineering, and the leadership acumen to drive cross-functional initiatives and mentor the next generation of risk technology professionals. The Senior Technical Lead Analyst will own the end-to-end lifecycle of advanced risk platforms — including Value-at-Risk (VaR) engines, Stress Testing frameworks — ensuring they remain accurate, efficient, and aligned with evolving regulatory and business requirements. The ideal candidate is a seasoned professional who thrives in a fast-paced, data-intensive environment, is comfortable engaging with C-suite stakeholders and front-office traders alike and possesses the technical depth to architect solutions while maintaining the strategic vision to lead transformational risk technology programs. Why This Role Matters Market risk management is a cornerstone of financial stability and regulatory compliance for any major financial institution. The Senior Technical Lead Analyst plays a defining role in ensuring that the firm's risk technology infrastructure is not only fit for purpose today but is architected to meet the demands of tomorrow — whether driven by new trading strategies, evolving regulatory mandates, or the rapid advancement of data and cloud technologies. This is a high-visibility, high-impact role that offers the opportunity to shape the future of risk technology at scale, work alongside some of the brightest minds in quantitative finance and technology and make a tangible contribution to the firm's risk management culture and capabilities. Key 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. Required Experience: 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). 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. Domain Knowledge 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 Technical Skills 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 Education: Bachelor’s degree in Computer Engineering, Finance, Mathematics, or a related quantitative field. Master’s degree preferred. Professional certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are a strong advantage.