Credit Risk Data Scientist/Artificial Intelligence Engineer

About RDCRich Data Co (RDC) is a market-leading fintech redefining access to credit through advanced AI decisioning. Our purpose is to expand global financial inclusion by enabling banks and lenders to make intelligent, real-time credit decisions. Leveraging generative and agentic AI, our platform doesn’t just analyse data – it adapts, learns, and acts autonomously to support more nuanced, timely, and confident lending, particularly for new and underserved segments.About the RoleRich Data Co unlocks hidden insights with advanced business lending AI expertise, offering a sophisticated technology approach that enhances decision-making with accuracy, efficiency, and transparency. Our intelligent solutions empower lenders to know more with confidence, do more with speed, and grow with reduced risk. As we expand in North America and grow our world-class team, we are seeking a Credit Risk Data Scientist or AI Engineer to join our Sydney-based team. This role will work closely with our customers on developing AI-based solutions to solve complex credit-based decisions in the SMB and Commercial lending space.The role will involve the following key accountabilities:Designing, presenting, and documenting AI-based initiatives to our clients, typically banking and risk executives.Designing use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.Developing data processing solutions and machine-learned models to address the business objectives of our clients using the RDC platform.Supporting discovery engagement and developing prototypes to be deployed on the RDC platform for clients across new use-cases in SMB and Commercial lending within ANZ/North America.Supporting scaling up RDC Data Science tooling, RDC AI R&D, and AI collaboration with universities and AI research organizations/institutes.Supporting R&D in applying generative AI to drive RDC’s innovation in banking solutions and business lending.Supporting sales, client advisory, and client delivery teams to achieve expected business outcomes as agreed with our clients.Mentoring and training junior Data Science team members on RDC methodologies and AI best practices.About the CandidateWe value the uniqueness each individual brings to our strengths-based culture, where diverse skills and perspectives work together to form our world-class team.For this Credit Risk Data Scientist/AI Engineer position, candidates should have 2-5 years of experience in Data Science, with an advanced degree in Computer Science, Data Science, Mathematics, Operations Research, or Statistics; a postgraduate degree is preferred. Proficiency in Python and SQL is required, with familiarity with Pandas and Scikit-learn. Exposure to other languages such as R, Perl, SAS is beneficial. Knowledge of various machine learning and statistical modeling techniques is essential. Experience working with non-traditional data sources such as transaction, accounting, or e-commerce data is also advantageous.Preference will be given to candidates with real-world banking or financial services experience within Australia, New Zealand, or North America, ideally from:Bank or financial services organizations in North AmericaFinTech organizations in the SMB domainFinancial software companies specializing in AI (e.g., Moody’s, S&P, Experian, FICO, SAS)Management consulting firms specializing in model development (e.g., Oliver Wyman, PwC, EY, KPMG, Deloitte, Accenture)Knowledge or experience with generative AI is highly regarded.You should have a broad understanding of credit and its impact on businesses, with the ability to communicate effectively with both business and technical audiences, including senior leadership. Strong engagement and communication skills are critical.If this sounds like you, we’d love to hear from you! Get ready for the #futureofcredit.Join the Future of Credit!5-Star Employer of Choice 2023 – Recognized by HRD Australia as one of the best companies to work for.Vibrant Team Culture – Be part of an agile, innovative team that celebrates success and solves problems together.Work-Life Balance – Enjoy flexible working arrangements that suit your lifestyle and preferences.Financial Inclusion – Contribute to reshaping the credit landscape and driving financial inclusion through intelligent, responsive AI. #J-18808-Ljbffr