Passionate about using advanced analytics to create tangible business impact, influence strategic decision-making, and deliver measurable PTOI results? Join us on our exciting journey to build the Fraud Hub Analytics team within our US Retail Markets (USRM) operating unit and play a pivotal role in shaping the results of fraud detection and prevention.
In this high-visibility, high-impact role, you will be using data-driven insights to accelerate our fraud detection and prevention for the Policy domain. The ideal candidate combines strong technical data expertise (advanced coding skills and working with large data sets) with a collaborative partnership with the Analytics Asst Director and aligned Fraud Hub director. You will have a unique opportunity to expand the relatively new Policy Fraud domain analytics capabilities, develop a robust lead generation pipeline, and deliver fast-moving insights to empower the Central Fraud Hub (CFH) to protect USRM’s bottom line.
Key Responsibilities:
Dedicate 80% of your time developing, coding and testing scenarios of effective fraud leads for investigation by our Fraud Hub partners, using advanced data analysis techniques and tools (e.g. Snowflake, SAS, SQL, Power BI)
Elevate investigation success by closely partnering with Fraud Hub leaders on strategic priorities and collaborating with Data Science and Reporting partners to integrate your insights into impactful dashboards and modeling solutions
Support the Analytics Asst Director to refine and update the framework that defines how we value potential Policy fraud leads
Assist with the monthly operational review (MOR) by developing impactful operational health metrics and data-driven storytelling insights that uncover key performance drivers and empower stakeholders with actionable recommendations
Define best-in-class standards for fraud analytics excellence, institutionalize domain-specific business and technical expertise and drive build-once-reuse-many framework