Analytics Business Intelligence Professional

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $150,000
Job Overview

An advanced analytics professional is required to drive business growth through data-driven insights and predictive modeling. This role will be responsible for developing and deploying machine learning models to inform credit risk assessment, fraud detection, and profitability strategies.

The ideal candidate will have a strong background in Python, SQL, and statistical modeling, with experience in model deployment and working with complex data sets. They will also possess excellent communication skills, with the ability to translate technical concepts into clear business insights for senior stakeholders.

Key Responsibilities
  • Develop and deploy predictive models using Python and collaborate with technology teams to ensure production integrity.
  • Partner with executive, product, and risk teams to define analytical goals and manage projects end-to-end.
  • Design, develop, and validate a comprehensive suite of models including credit risk (PD, LGD, EAD), provisioning (IFRS9/AASB), fraud, servicing, and profitability.
  • 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.
  • 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.
Required Skills
  • 4+ years experience developing and deploying predictive and machine learning models in a business environment.
  • Strong proficiency in Python, SQL, and statistical modeling.
  • Knowledge of credit risk modelling, including scorecards, behavioural models (PD, LGD, EAD), provisioning (IFRS9) and collections models.
  • Experience validating model inputs and ensuring data quality from diverse sources.
  • Excellent communication and presentation skills.
  • Proven project management skills, capable of scoping, planning, and delivering analytics projects aligned with business goals.
Benefits

This role offers a competitive salary and benefits package, as well as opportunities for career growth and professional development.

Qualifications
  • 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.

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