VP, Market Risk & AI Analytics Leader

Madison-Davis, LLC

New York (NY)

Hybrid

USD 152,000 - 195,000

Full time

23 hours ago
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Job summary

Madison-Davis, LLC seeks an AVP/VP in Market Risk/AI Modeling & Analytics in New York. You will lead AI-enabled risk data processing, time series construction, and backfilling efforts, partnering with Front Office, Risk, Tech, and Data teams.

The role emphasizes production-grade AI and analytics for risk models, data infrastructure, and governance, with regular updates to senior management on strategic insights.

Responsibilities

  • Lead the design and implementation of Agentic AI and Generative AI solutions to automate and enhance market risk data processing, time series construction, and historical data backfilling
  • Develop scalable AI-driven frameworks for data quality monitoring, anomaly detection, and data remediation across trading book risk datasets
  • Evaluate and incorporate emerging AI technologies to improve analytical workflows and operational efficiency across the risk modeling function
  • Design and implement advanced statistical approaches to support evaluation, monitoring, and continuous improvement of AI-based models
  • Build prototypes and production-ready analytical models utilizing large-scale financial datasets; collaborate with technology teams to ensure seamless integration of analytical solutions into production environments
  • Work with model review and validation teams to ensure compliance with regulatory and firm governance standards applicable to both quantitative and AI models
  • Present analytical findings, model results, and strategic recommendations to senior management and key stakeholders across the organization

Job description

Madison-Davis, LLC seeks an AVP/VP in Market Risk/AI Modeling & Analytics in New York. You will lead AI-enabled risk data processing, time series construction, and backfilling efforts, partnering with Front Office, Risk, Tech, and Data teams.

The role emphasizes production-grade AI and analytics for risk models, data infrastructure, and governance, with regular updates to senior management on strategic insights.

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