Quantitative Credit Risk Manager at Bluefin Resources
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

21 Jan, 24

Salary

160000.0

Posted On

23 Oct, 23

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Financial Services

Description

An excellent opportunity exists for a Quantitative Credit Risk Manager within one of Australia’s largest financial service institutions. Joining a team of specialist model reviewers, you will take responsibility for ensuring the group is compliant across credit risk model management practices.

Day to day accountabilities;

  • Review models, risk systems, loan loss provisioning and capital management across different risk classes
  • Independent validation of both retail and non-retail risk models & scorecards
  • Analyse and document issues within the risk management practices
  • Engage and consult with key stakeholders including; group risk, product risk areas and external agencies
  • Have an opportunity to review new model classes such as MI, AL and ALGO

To succeed in this role you will need;

  • A degree (ideally postgraduate) in across either statistics, mathematics, econometrics or actuarial
  • 5 years’ experience across quantitative & statistical modelling
  • Knowledge of the Basel regulatory framework; PD, LGD and EAD modelling
  • Understanding the linkages between risk assessment, quantification, economic and regulatory capital and credit provisions
  • Programming skills in SAS, SQL , R & Tableau
  • Strong communication skills

The role is an opportunity to work across multiple risk classes, giving you a very top down view of the banks risk management practices. It comes with excellent growth opportunities with one of Australia’s largest financial services organisation.
For more information, please contact George on 03 8330 5008

Responsibilities
  • A degree (ideally postgraduate) in across either statistics, mathematics, econometrics or actuarial
  • 5 years’ experience across quantitative & statistical modelling
  • Knowledge of the Basel regulatory framework; PD, LGD and EAD modelling
  • Understanding the linkages between risk assessment, quantification, economic and regulatory capital and credit provisions
  • Programming skills in SAS, SQL , R & Tableau
  • Strong communication skill
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