Collaborate with business lines to understand First/Third-Party fraud landscape, build an on-going gap assessment, and determine emerging internal/external trends
Partner with Enterprise Data Science to select, curate and transform large, complex data sets to support continued entity resolution and graph development (AI/ML techniques)
Develop predictive fraud attributes and support integration within control environments.
Develop policies and procedures used to evaluate and control for fraud risk
Lead analytical projects with an emphasis on fraud risk using advanced analytical/statistical techniques and partnering with key stakeholders around the organization
Proactively and strategically lead efforts to identify new risks to monitor, source data needed, and provide actionable recommendations based on reported results, benchmarks, and discovered patterns
Ability to support and drive agile delivery of enterprise fraud initiatives
Develop key reporting and on-going monitoring to track effectiveness of solution
Maintain and manage the metadata / relationships for all external and internal data sources that are critical to the fraud analytical solution
Basic Qualifications
Bachelor's or Masters’ degree, or equivalent work experience
Seven to ten years of experience in risk management activities
Preferred Skills/Experience
Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field required
SAS, SQL, R or Python experience
Extensive data analytics experience preferably in the financial services industry
Knowledge of financial services products, systems, and data preferably within the fraud domain
Proficient computer skills, especially Microsoft Office applications and data analysis software
Excellent presentation, interpersonal, written, and verbal communication skills
Exceptional problem solving, critical thinking, and troubleshooting skills
Ability to prioritize and manage multiple tasks, while establishing responsible deadlines
Flexibility in day-to-day work and tolerance for ambiguity
Positive ‘can-do’ attitude and a strong desire to continue to learn and ask questions
The ability to work well in a team environment
Ability to build relationships cross-functionally and over the phone
Ability to work with and influence at all levels of the organization, including with senior leadership
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.