Senior Quantitative Credit Risk Analyst - SQL, R & SAS

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A leading Australian Bank is currently seeking 2 Senior Quantitative Analysts to take responsibility for monitoring credit risk models

Summary about this job

Analysis & Reporting

Company: Bluefin Resources Pty Limited

Location: Sydney

Work type: Full Time

Salary: n\a

Phone: +61-2-4421-8184

Fax: +61-7-4883-7744

E-mail: n\a

Site:

Detail information about job Senior Quantitative Credit Risk Analyst - SQL, R & SAS. Terms and conditions vacancy

A leading Australian Bank is currently seeking 2 Senior Quantitative Analysts to take responsibility for monitoring the performance of credit risk models. As a Senior Quantitative Analyst you will assist in the development and implementation of analytical tools which help drive better model monitoring and stressed scenarios.

Accountabilities would include;

  • Monitoring scorecards, PD, LGD & provisioning models and develop insights on model performance
  • Build appropriate tools and develop data strategies to support model monitoring and scenario analysis
  • Facilitate regular model monitoring forums and reviews of model monitoring outcomes
  • Develop different scenarios for stress testing the portfolio
  • Use innovation to develop new statistical tools which help optimise model monitoring and stress testing
  • Ensure modelling data meets APRA’s data management framework
  • Ensure recommendations are being made to address issues with model performance

To be considered for the role you will need;

  • A tertiary qualification in a quantitative discipline; statistics, mathematics
  • Strong understanding of statistical modelling techniques
  • At least 3+ years commercial - ideally in credit risk, however other areas in finance will be considered
  • An understanding of PD, LGD model development or validation is beneficial
  • People coming from credit risk reporting or portfolio analytics backgrounds looking to get closer to the modelling process should apply
  • Programming skills in either SQL, R or SAS
  • Excellent communication skills

For more information please call Alex Slocombe on 02 9270 2602 or apply online.

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