Roles and Responsibilities

- Develop, implement, monitor and provide performance tracking of acquisition fraud strategies that minimize and client's fraud risk

- Complete required strategy documentation and meet audit standard

- Work closely with implementation team to ensure strategy is implemented correctly through pre and post implementation validation

- Drive enhanced strategy using champion/challenger learnings to reduce fraud and improve customer experience

- Support new clients onboarding, evaluate and provide recommendation on new tools and process

- Proactively research and identify areas of opportunity for improvement, work closely with the Fraud Operations team to identify recent fraud patterns, trends and rings associated with all Credit portfolios.

- Perform model validations and ensure strategy governance

- Provide direction and support to other team members including mentorship

- Coordinate and communicate on a frequent basis with cross-functional team members

- Meet assigned deadlines and perform tasks as assigned

- Provide thought leadership in various initiatives/projects

- Work on a number of different projects simultaneously, of varying complexity and length. Establishing priorities and coordinating work

- Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered.

Qualifications / Requirements

- Masters or Ph.D. in Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors, or equivalent experience beyond Bachelors degree.

- Minimum 8+ years of experience in Analytics domain with at least 5 years in Consumer Credit / Fraud Analytics environment.

- Minimum 3+ years of experience managing end to end project management

- Strong knowledge & hands-on experience of Logistical/Linear/Regressions CHAID/CART/Clustering techniques, Optimization

- Solid working knowledge of SAS, SQL, Unix, MS Office suite. Knowledge on Python, R would be an added advantage

- Deep experience with various Credit/Fraud Risk modeling & strategy building methodologies in a development role.

- Big-picture understanding of Credit Risk & ability to communicate with business and technical stakeholders.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.