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Senior Finance Data Scientist with Artificial Intelligence Expertise

2 months ago

Canberra, ACT, Australia MatchaTalent Full time
About the Role

This is a senior-level position within the Digital Solutions & Data Management Division of the Digital Finance Department at MatchaTalent. The successful candidate will be responsible for championing the identification, evaluation, design, coordination, and implementation of Artificial Intelligence-centric solutions in the Finance organization.

Key Responsibilities
  • Design, develop, and implement AI-powered solutions to automate tasks, improve processes, and support data-driven decisions across Financial Accounting, Treasury, Performance Management, and Investor Relations.
  • Collaborate closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.
  • Assess Finance AI use cases, evaluate options, and support implementation.
  • Develop and manage machine learning models for financial forecasting, fraud detection, risk assessment, and more.
  • Clean, transform, and analyze large datasets from diverse sources to ensure data quality and suitability for modeling.
  • Stay updated on AI and machine learning advancements, identifying potential applications for finance and proposing relevant pilot projects.
  • Effectively communicate technical concepts and findings to both technical and non-technical audiences.
  • Contribute to cross-functional initiatives integrating AI and data science into broader business transformation efforts.
  • Facilitate workshops with users and consultants to document processes and drive transformation.
  • Lead the delivery of key digital initiatives, participating in solution development through projects and programs in collaboration with business and technology teams.
  • Maintain, support, and optimize digital solutions.
Requirements
  • This role requires the candidate to have a Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or IT from a recognized program; advanced degree or professional certifications like MBA, CMA, CFA, CPA preferred but not required.
  • Possess 6-8 years of experience in Data Science, Artificial Intelligence, and advanced analytics implementation in financial systems.
  • Expertise in Python programming and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required.
  • Proficiency in UI programming, particularly with React, is required.
  • Desirable skills include leveraging Google Cloud or Azure Cloud for advanced analytics.
  • Demonstrate a thorough understanding of implementing AI systems in Finance, including benefits articulation, technical evaluation, critical success factors, and project risks.
  • Have project experience implementing AI solutions, including analyzing business requirements, evaluating technical options, and supporting execution processes.
  • Preferred ability to engage in hands-on technical solution management.