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CIB QR - Quantitative Research Model Risk Methodologies – Quant - VP

Req #: 170116991
Location: Jersey City, NJ, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:
Quantitative Research – Model Risk Methodologies – Quant – VP
 
CIB Quantitative Research (QR) provides quantitative support for the Investment Bank lines of businesses and key corporate areas. As we continue to transform our model risk management and model development practices across the coverage areas, the Model Risk Methodologies group is responsible for coordination across asset class-aligned QR groups on all model risk matters, including centralized model risk reporting, establishing consistent standards and practices, and building out common analytics and toolsets. Part of the wider QR organization, the group also has a significant outward facing role in its partnership with control functions such as Model Governance, Model Review, Market Risk, Valuation Control Group and with Technology. The team is seeking talented individuals to fill a variety of roles with quantitative, commercial, software development, governance and control-oriented skillsets.
 
Job Summary:
 
The QR Model Risk Methodologies team is looking for quants to establish new, more efficient ways of managing model risk by building out new common analytics and coordinating a range of model risk related activities across the QR organization.
 
The role consists of:
  • Developing common model risk metrics, monitoring and diagnostics.
  • Leveraging machine learning techniques for model risk anomaly detection.
  • Developing new models for benchmarking existing ones.
  • Helping drive requirements of the new Model Reporting framework.
  • Working closely with other QR groups to implement consistent model risk practices across the groups.
  • Participate in generating data or information in response to ad-hoc internal and external requests relating to model risk.
  • Work as a key member of a team responsible for establishing new practices for model risk management.
Required Skills:
  • Knowledge of financial maths and maths modeling
  • Excellent analytical and problem solving skills
  • Affinity with model validation or model governance
  • Python or C++ software development with emphasis on numerical methods
  • Good communication skills
  • PhD or Master’s degree or equivalent from top tier schools/programs in Mathematics, Mathematical Finance, Computer Science, Physics, or Engineering
Preferred Skills:
  • Experience in model validation and understanding of model risk
  • Experience with object oriented design
  • Machine learning experience
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