At a Glance
- Tasks: Own credit risk modelling and provide insights for our lending business.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on adopting new technologies like AI.
- Why this job: Make a real impact by shaping credit risk strategies and driving data-driven decisions.
- Qualifications: Tertiary qualification in a quantitative field and experience in credit risk analytics.
The predicted salary is between 108000 - 132000 $ per year.
Job Type: Permanent position | Full time position
Job Description
About the role Own credit risk modelling and portfolio insights for our lending business.
Develop and monitor credit risk models, and provide the analytical direction behind our risk reporting and portfolio insights, working closely with the broader risk team.
Key responsibilities
- Develop, calibrate and monitor credit risk models (e. g. scorecards or equivalent) to support lending decisions
- Track model performance over time and recommend redevelopment or recalibration where needed
- Use data-driven analysis to identify portfolio trends, emerging risks and opportunities
- Set the analytical direction and methodology for risk reporting, partnering with colleagues who own reporting delivery
- Evaluate and adopt new tools and techniques (including AI-assisted approaches) to improve modelling efficiency
- Maintain clear documentation of model methodology and assumptions to support internal and external review
- Collaborate with quality assurance and policy colleagues to understand how real-world lending patterns may signal emerging risk
This person has...
- Tertiary qualification in a quantitative discipline such as statistics, mathematics, data science, actuarial studies, finance or economics (preferred)
- Demonstrated experience in credit risk analytics, modelling or portfolio insights within financial services, ideally in lending.
- Hands-on experience developing, calibrating and monitoring credit risk models (e. g. application or behavioural scorecards).
- Experience turning portfolio data into clear, actionable insights for senior management and governance forums.
- Strong proficiency in SQL and at least one analytical programming language (e. g. Python or R) for data analysis and model development.
- Interest in evaluating and adopting new tools and techniques, including AI-assisted modelling and analysis.
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Senior Credit Risk Analyst in Sydney employer: Lumi Financial Management
As a Senior Credit Risk Analyst at our company, you'll be part of a dynamic team that values innovation and collaboration in the heart of the financial services sector. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and access to cutting-edge tools, including AI-assisted modelling techniques. Located in a vibrant area, our workplace fosters a sense of community and encourages meaningful contributions to our lending business, making it an excellent employer for those seeking a rewarding career in credit risk analytics.
