Quantitative Risk, Senior Associate

STATE STREET

Hangzhou, China
Not specified (assumed on-site based on location).
Master or phd in quantitative discipline
Experience in model validation
Proficiency in python, r, sas, or matlab
State Street is seeking an experienced Quantitative Risk Analyst for its Hangzhou office to support model validation efforts across various risk models. The ideal candidate will possess strong analytical skills, relevant educational qualifications, and experience in quantitative analytics within a financial or consulting environment

Job Summary

  • This role involves conducting independent validations on models covering credit risk, market risk, climate risk, portfolio management, pricing, and AI models.
  • The successful candidate will perform deep analysis on modeling data using statistical analysis or machine learning approaches to verify model performance.
  • State Street offers inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks for its team members.

Matching Summary

Match Score: 85

State Street is seeking an experienced Quantitative Risk Analyst for its Hangzhou office to support model validation efforts across various risk models. The ideal candidate will possess strong analytical skills, relevant educational qualifications, and experience in quantitative analytics within a financial or consulting environment.

Skills & Requirements

Must-have

  • Master or PhD in quantitative discipline
  • Experience in model validation
  • Proficiency in Python, R, SAS, or Matlab
  • Statistical analysis and machine learning skills
  • Understanding of credit and market risk

Nice-to-have

  • CFA or FRM certification preferred
  • Knowledge of Basel regulations
  • Experience with stress testing and CCAR
  • Ability to streamline analytical processes
  • Strong communication and negotiation skills

Key Requirements

  • Master or PhD degree required
  • Prior experience in regulatory financial institution
  • Programming proficiency in SAS, R, Matlab, or Python
  • Understanding of industrial best practices in quantitative analytics
  • Finance or risk management certificates preferred (CFA/FRM)

Work Rights

Not specified

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