Senior Analytics Specialist

As a senior data scientist, you will be responsible for driving the future of analytics capabilities. You will work closely with leadership, product, and risk teams to build and deploy advanced statistical and machine learning models that power credit risk assessment, fraud detection, and profitability strategies.

Key responsibilities include:

• Partnering with executive, product, risk, and frontline teams to define analytical goals and manage projects end-to-end, ensuring business alignment and executive buy-in
• Designing, developing, and validating a comprehensive suite of models including credit risk (PD, LGD, EAD), provisioning (AASB/IFRS9), fraud, servicing, and profitability
• Translating complex statistical concepts into clear business insights and communicating effectively across stakeholders
• Optimizing credit strategies, policies, automation, and decision-making through robust modelling and reporting
• Continuously improving machine learning architecture and researching new techniques to drive innovation and performance
• Developing and deploying models in Python, collaborating with technology teams to ensure production integrity
• Validating and maintaining the integrity of diverse data sources such as bank statements, credit bureaux, and financial reports
• Overseeing model monitoring, governance, and reporting for internal, executive, and risk stakeholders

To be successful in this role, you will need:

• 4+ years experience developing and deploying predictive and machine learning models in a business environment
• Strong proficiency in Python and SQL, with hands-on experience in model deployment and working with ML architectures
• Knowledge of credit risk modelling, including scorecards, behavioural models (PD, LGD, EAD), provisioning (AASB/IFRS9) and collections models
• Experience validating model inputs and ensuring data quality from diverse sources (bank statements, credit bureaux, financials, OCR)
• Excellent communication and presentation skills with the ability to translate complex analytics into clear business insights for senior stakeholders
• Proven project management skills, capable of scoping, planning, and delivering analytics projects aligned with business goals
• Collaborative problem solver who thrives in cross-functional teams and drives innovation

The following skills are highly desirable:

• Advanced degree (Masters or PhD) in quantitative disciplines like Statistics, Mathematics, Computer Science, Finance, Economics, or Engineering
• Experience in business or commercial finance industries
• Exposure to credit/product strategy design and optimisation
• Expertise in provisioning model development and validation (IFRS9)
• Familiarity with deploying models in clustered computing environments like Databricks
• Experience engaging and influencing senior stakeholders across diverse business units

At our organization, we offer a collaborative and innovative work environment with opportunities for growth and development. Our benefits package includes:

• Collaborative teams - a flat structure means everyone can learn from colleagues and senior leaders around the business
• Flexible working environment - we're headquartered in North Sydney with state-based 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