The main goal of this role is to support the LFS Risk Modelling Centre of Excellence by leading the Portfolio Modelling work stream, building, maintaining, and improving quantitative models across the full life cycle of each LFS financial product.
In this role, you’ll be responsible for:
- Develop and deploy traditional portfolio risk models in line with established Model Governance framework, including IFRS 9 models.
- Lead the Portfolio Modelling work stream with a focus on learning and development of team members in quantitative portfolio modelling.
- Drive research and development to innovate with new methodologies with a focus on building and deploying explainable and robust models.
- Provide thought leadership on optimizing strength and stability of existing suite of portfolio models by using alternative data sources and modelling techniques (for example machine learning).
- Ownership of portfolio models and Line 1 governance across provisioning, forecasting, stress testing and climate risk models, including policies, standards, and procedures.
- Oversee model monitoring and discuss model performance and opportunities to improve model outcomes.
- Drive the development of climate risk modelling related to portfolio credit impacts, working across teams to maintain robust methodology and ensure output contributes meaningfully to ESG reporting.
- Demonstrate an agile and accurate contribution to business-critical enquiries and strategic initiatives.
- Support the delivery of Portfolio Modelling priorities to tight timelines.
About You:
- Tertiary qualification in practical numerate discipline.
- A successful track record of developing quantitative models in the Consumer Risk Management & Financial Industry (8 years +).
- Strong commercial acumen along with in-depth experience throughout the credit life cycle, across several products.
- Deep understanding of traditional portfolio modelling techniques and understanding of newer machine learning techniques.
- Strong knowledge of:
- Relevant international and local accounting standards (IFRS9).
- Loss forecasting modelling techniques including roll-rate and vintage modelling.
- Up to date knowledge of sector Best Practice and regulatory requirements.
- Expertise in data mining and developing quantitative models using multiple programming languages including SQL, Python or R.
- Experience with machine learning platforms (i.e., Dataiku).
- Strong collaborator and be comfortable working with business stakeholders to identify and shape problems to be solved with data.
- Proven track record designing and delivering analytical projects providing business impact.
- Proven experience to own and deliver analytical projects to tight timelines with a high level of autonomy.
Sometimes the best candidates don’t have 100% of what is listed above, but if you have most and are confident, you’d be a good fit, we’d love to hear from you!
- Recognition @ Latitude: Education support, Better giving programme with charity partners, Latitude matches dollar for dollar and Community partner days
- Flexibility @ Latitude: Flexible work arrangements - balance work and personal responsibilities, Hybrid set up - work from home & the office, 3 Days paid volunteer leave annually, paid community service leave, paid compassionate / bereavement leave
- Yearly salary reviews.
Sound like you? That's a good sign! In return for your energy and ideas, we offer a flexible working environment and great compensation. We always support a safe, healthy, engaging, and productive working environment for all employees and workers, whether that be in your home and office, or a combination of both.
We're Latitude, partners in money Latitude may seem like the new kid on the block, but it's taken us almost a hundred years to become an overnight success. Digital payments, cards, loans are what we offer - but what we really are is a platform that helps people shop and live better. Always living and breathing our values. Take ownership, Win together, Pursue excellence, and Create tomorrow
Successful applicants will be required to complete a background check (including criminal history and bankruptcy check) prior to commencement of employment. Only open to Australian or New Zealand Permanent Residents or Citizens.
