At a Glance
- Tasks: Lead a team in analytics and AI to enhance credit decisioning and risk management.
- Company: Join Wisr, a purpose-led fintech making a real difference in financial health.
- Benefits: Enjoy flexible working, wellness perks, and unlimited access to LinkedIn Learning.
- Other info: Be part of a supportive culture that values continuous learning and personal growth.
- Why this job: Shape the future of credit risk with innovative AI solutions and impactful projects.
- Qualifications: Strong Python and SQL skills, plus experience in credit risk modelling and team leadership.
The predicted salary is between 126000 - 154000 $ per year.
Wisr is committed to building a supportive, inclusive and diverse workplace, and we strongly encourage applications from all backgrounds and identities. We’re happy to accommodate any reasonable adjustments to the interview process to ensure equal opportunity for all.
We are a proudly purpose-led ASX-listed fintech on a mission to power peoples’ progress and make a real difference in the world, starting right here in Australia. By building products and experiences designed to have a positive impact on the financial health and lives of our customers, we offer smarter, fairer loans that help people kick their goals sooner, a nifty round up tool to help people get out of debt and save even faster, and a dashboard that helps people track and improve their credit scores.
This is a newly created role leading the analytics and AI capability within Credit Risk, Data & Analytics. You'll take on an established team of analysts, with scope to shape how the function operates. Day to day you'll oversee the team's modelling work across credit decisioning, risk-based pricing, portfolio monitoring and IFRS 9 ECL. You'll own the analytics platform, lift the team's technical maturity, and lead the adoption of AI and automation across credit risk workflows. In addition to deploying models, strategies, and workflows into production, you will direct the team's sprint priorities and provide ongoing mentorship. This is a hands-on leadership role.
Key Responsibilities
- Own the analytics and modelling stack across Snowflake, Dataiku and Python.
- Lift the team's technical maturity across version control, reproducibility, model monitoring and deployment discipline.
- Move recurring analysis into automated, production-supported processes.
- Set documentation, peer review and handover standards for the team.
- Lead the adoption of AI and GenAI tooling across credit risk workflows.
- Responsible for the production of data products that will serve to evaluate the accuracy of AI agents.
- Architect and deliver the mechanism to create AI agent self‑improvement loops.
- Build and own the data pipelines that ingest agent audit trails.
- Identify and prioritise use cases, build the business case for investment, and measure the benefit delivered.
- Ensure AI solutions meet the model governance, validation and monitoring standards required in a regulated lending environment.
- Lead the development, validation, deployment and ongoing monitoring of credit decisioning, behavioural and ECL models.
- Design and run test‑and‑learn on credit policy and pricing changes.
- Run the team's delivery in Jira: shape and size stories, groom the backlog, and set sprint priorities.
- Translate model outputs into decisions for Credit, Pricing, Collections, Product and Finance.
- Prepare and present analytical papers to Risk Committee, Pricing Committee, executive and board audiences.
- Lead, mentor and develop a team of analysts and data scientists.
About You
- Strong Python and SQL.
- Understanding of the full model lifecycle: development, deployment, monitoring, maintenance.
- Strong background in credit risk modelling within a lending environment.
- Hands‑on experience delivering AI or GenAI solutions into production business processes.
- Proven experience leading or mentoring an analytics or data science team.
- Experience running delivery in an Agile environment using Jira.
- Confident in communicating with non‑technical stakeholders and senior leadership.
Nice to Have
- Dataiku, Snowflake, Power BI or Tableau.
- IFRS 9 ECL methodology and provisioning.
- Australian consumer credit regulation knowledge.
- Agentic AI frameworks and LLM APIs applied to document or data‑heavy workflows.
- ML deployment.
Some of Our Perks & Benefits
- Flexible and hybrid working.
- $500 every year to spend on your wellbeing.
- Take an extra Annual Leave day off on us every financial year.
- Unlimited access to LinkedIn Learning.
- Access to ClassPass for a range of fitness and wellness options.
- Generous paid parental leave.
- Regular social events and awesome team offsites.
- Access to our Employee Assistance Program.
We value psychological wellbeing and safety, fostering a high‑performing culture which enables continuous learning and growth. If this role resonates with you, we want to hear from you.
Wisr Values
- Courageously ask, “What if?”
- For the customer: Our internal and external customers are at the center of everything we do.
- Smarter parts together: We believe the real magic happens when we bring together the right mix of Smart Parts and work as a team.
- Be a stunning colleague: It’s not just about excelling in our roles, but also going the extra mile to make our colleagues and Wisr shine too.
- Growth over comfort: We love learning, and we always find opportunities to learn something new.
Lead, Credit Decision Science and AI in Sydney employer: Wisr
Wisr is an exceptional employer that prioritises a supportive and inclusive work culture, offering flexible hybrid working arrangements and a commitment to employee wellbeing through annual wellness reimbursements and professional development opportunities. As a purpose-led fintech based in Australia, we empower our team members to take ownership of their career journeys while fostering continuous learning and growth, making it an ideal environment for those looking to make a meaningful impact in the financial sector.
