Job Description Join Shift as a Senior Data Scientist and drive the future of our analytics capabilities. You’ll 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. Your expertise will directly shape business decisions, optimise credit processes and elevate the team through mentorship and innovation. What You’ll Do: Partner with executive, product, risk, and frontline teams to define analytical goals and manage projects end-to-end, ensuring business alignment and executive buy-in Design, develop, and validate a comprehensive suite of models including credit risk (PD, LGD, EAD), provisioning (AASB/IFRS9), fraud, servicing, and profitability Translate complex statistical concepts into clear business insights and communicate effectively across stakeholders Optimize credit strategies, policies, automation, and decision-making through robust modelling and reporting Continuously improve machine learning architecture and research new techniques to drive innovation and performance Develop and deploy models in Python, collaborating with technology teams to ensure production integrity Validate and maintain the integrity of diverse data sources such as bank statements, credit bureaux, and financial reports Oversee model monitoring, governance, and reporting for internal, executive, and risk stakeholders Coach and mentor junior team members, fostering knowledge sharing and team development
