Manager - Fraud Strategy - BFS

Title: Manager- Fraud Strategy

Role Summary/Purpose:

As a Manager, you will have the opportunity to work on major business initiatives in the Fraud Prevention Strategy team that contribute to Synchrony Financial's growth and productivity objectives. This role enables you to work directly with the business in catering to the end-to-end analytical needs. You will have the opportunity to work with cross-functional teams and leverage state of the art tools (viz., SAS, Python, R, Tableau, SAS E Miner, Model builder suite of products) along with managing projects.

Essential Functions / Responsibilities:

- 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 a 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 of 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 a cross-functional environment and excellent problem-solving skills

- Strong written/oral communication skills.

Desired Qualifications:

- Exposure to Big Data technologies

- Working knowledge of credit bureaus

- Work experience in a US financial institution or bank

- Systems Implementation experience

- Knowledge of US, Canadian credit bureau data