Credit Risk Modelling Manager
Credit Risk Modelling Manager
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Salary Not Disclosed
1 Vacancy
Job Description
Shift is a dynamic and innovative company with a 10year history of solving complex problems for Australian businesses. At the heart of our approach is sourcing enriching and modeling data to support our credit IP customer insights and economic understanding. We are seeking an experienced Credit Risk Modelling Manager to join our team. In this role you will manage and engage senior stakeholders including Csuite executives on key modeling projects. You will lead a team of data scientists and maintain a suite of models related to credit risk commercial outcomes and customer attributes. This is a strategic Line 1 role reporting to the product team focusing on finding the right balance between academic accuracy and practical business needs.
What Youll Do:
- Collaborate with Product and Engineering teams to create and implement a diverse range of data models.
- Manage and govern models related to expected loss lifetime value and provisioning.
- Support the development of model understanding for investors funders and other key stakeholders.
- Refine the companys credit risk strategy and policies to align with business goals and regulatory requirements.
- Guide and support the credit and risk teams fostering a culture of datadriven decisionmaking.
- Stay uptodate on industry developments regulatory changes and emerging technologies that could impact our credit risk strategy and lending products.
Qualifications :
What Youll Bring:
- Handson experience in credit risk modeling portfolio analytics or strategy.
- Strong technical skills in SQL Python data analysis and quantitative risk assessment.
- Proven ability to apply data insights in commercial environments.
- Demonstrated ability to synthesize analysis and communicate insights and recommendations to stakeholders.
- Experience in building and maintaining an analytical strategy/roadmap.
- Experience monitoring the performance of analytical models.
- Strong understanding of data science and analytical modeling.
- A keen sense of the why behind product decisions.
- Ability to understand the relationship between data fidelity and outcomes.
- A forwardlooking approach knowing when and what to model and when to apply advanced techniques.
- A resultsdriven mindset focused on achieving meaningful outcomes.
Additional Information :
Key Benefits:
- Collaborative teams a flat structure means everyone can learn from colleagues and senior leaders around the business.
- Be involved come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.
- Flexible working environment were headquartered in North Sydney with statebased workplaces and offer a flexible work policy.
- Family support industry leading 26 weeks paid parental leave.
- Varied workspaces our office enables areas for collaboration brainstorming and socialising as well as focus zones.
- Range of benefits supporting your physical psychological and financial wellbeing.
#LIHybrid
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
