Fraud Manager - Analytics - Credit Function - BFS

Job Description:

- Develop and support Best-in-class analytic solutions/algorithms for Fraud Prevention Strategy team in the Credit functions as required

- Identify the key trends associated with fraud using advanced analytics and help the business to deploy necessary strategies to prevent the fraud

- Leverage internal and external customer and account information use numerical, computational and operations research techniques to solve for Fraud Mitigation

- Work on multiple projects simultaneously. Manage projects independently.

- Communicate fraud trends to Fraud Analysis and Strategy manager and senior leadership.

- Coach analysts in various business/technical aspects, establishing priorities and coordinating work.

- Support tracking and reporting of strategy champion/challenger tests including preliminary analysis of the performance of the different strategies.

- Facilitate "Lessons Learned" session at close of each project. Follow through on action items to ensure "Best Practices" are incorporated into future projects.

- Perform other duties and/or special projects as assigned.

Qualifications/ Requirements:

- 5+ years Consumer Credit experience in Analytics with Degree in following Majors

- Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors

- At least 3+ years hand on experience in Advanced Analytics.

- Working knowledge of Logistical/Linear/Regressions CHAID/CART/Clustering techniques,

- Optimization (LP, NLP, Integer Programming), Simulation & Neural network tools.

- Working knowledge of SAS, Python/R, SQL, Unix, Excel. Tableau, SAS E Miner would be a plus

- Strong Team Player in cross-functional environment and excellent problem solving skills

- Strong written/oral communication skills.