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SMB CP22 days ago

Vice President, Counterparty Credit Risk Analytics

$138,000–$185,000 year

Hybrid · New York City, New York, United States

Type
Full Time
Level
Senior Level
Education
Masters Degree
Company size
Large

Job Summary

Lead the development, enhancement and maintenance of Counterparty Credit Risk (CCR) models; drive data quality controls, model performance monitoring and calibration; collaborate with Risk IT to implement model changes; engage in CCR modeling discussions for new products; expose stakeholders to CCR analytics framework, derivatives and SFT valuation methodologies; translate complex risk analytics requirements into clearly defined mathematical problems and identify optimal modeling choices among multiple approaches; responsibilities include defining and enhancing PFE methodologies for existing and new products, performing root-cause analyses of MTM and PFE differences across valuation methodologies, coordinating with validation for model changes, and communicating modeling concepts to diverse stakeholders.

Required Qualifications

  • PhD or Master’s degree in Financial Engineering, Mathematics, Computer Science, Statistics, or a related quantitative field
  • Minimum 7+ years of experience in counterparty credit risk or market risk modeling
  • Proven model development experience with CCR, XVA, VaR or stress testing, and familiarity with advanced CCR modeling techniques
  • Strong knowledge of capital markets, derivatives products, SFT products, and related valuation methodologies
  • Solid understanding of CCR concepts (PFE, EPE, collateral, netting) and regulatory requirements
  • Excellent analytical, problem-solving and communication skills
  • Proficiency in statistical programming languages (e.g. Python, SQL), and data visualization tools (e.g. Power BI)
  • Strong project management skills and ability to manage multiple priorities and work effectively in a fast-paced and collaborative environment
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$138k – $185k / yr

Vice President, Counterparty Credit Risk Analytics · SMB CP2

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