In the role of a Senior Customer Journey Manager, Analytics you will join the Fraud Prevention & Detection team focused on protecting the community and our customers.
Responsibilities
* Model & Rule Development: Design, build, and oversee the execution of predictive models and data rules specifically tailored to identify syndicated fraud in lending products.
* Capability Building: Serve as an analytical subject matter expert, coaching and upskilling G3 Data Analysts to build internal data literacy and capability.
* Syndicate Identification: Lead complex data‐matching and network analysis initiatives to expose organized financial crime rings exploiting lending vulnerabilities.
* Performance Optimization: Continuously monitor and iterate existing rules to maximize true‐positive fraud detection while minimizing customer friction (false positives).
Qualifications
* Advanced statistical modelling and data mining.
* Proficiency in SQL, SAS, Python, or a deep understanding of credit risk and lending fraud typologies (secured/unsecured).
* Mentorship and capability‐building skills.
* Strong presentation and data visualization skills (PowerBI/Tableau).
* Extensive experience in data analytics, specifically within financial crime, risk analytics, or fraud detection domains.
* Demonstrated experience tracking or modelling syndicated, multi‐party fraud networks.
We are committed to a diverse and inclusive workplace.
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