Title: Manager - Credit Strategy - Credit Analytics (P/G)
Role Summary/Purpose:
As a manager you will have the opportunity to work on major business initiatives in the Credit Strategy team that contribute to Synchronys growth and productivity objectives. This role enables you to work directly with the business in catering to the end-to-end analytical needs for one or multiple sub strategy teams within broader strategy vertical.
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 Credit/Fraud Strategy team in the Credit function
- Identify the key trends associated with portfolio performance using advanced analytics and help the business to deploy necessary strategies to grow the book, reduce credit and fraud losses
- Present your strategy proposals and analytics solutions to senior managers
- Partner with strategy implementation teams to ensure smooth implementation of the strategies within decision systems
- Leverage internal and external customer & account information use numerical, computation and other operations research techniques to build strategies, perform risk segmentation etc.,
- Work on multiple projects simultaneously. Manage projects independently.
- Regularly communicate key trends with regards to portfolio performance to strategy managers 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:
- Bachelors' Degree in following Majors Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors
- Minimum 5+ years Consumer Credit experience in Analytics
- Working knowledge of SAS, SQL, Python/R, Unix, Excel. Tableau, SAS E Miner would be a plus
- Working knowledge of Logistical/Linear/Regressions CHAID/CART/Clustering techniques, Optimization (LP, NLP, Integer Programming), Simulation & Neural network tools.
- Strong Team Player in cross-functional environment and excellent problem solving skills
- Strong written/oral communication skills.
Desired Qualifications:
- Minimum 3+ years hand on experience in Advanced Analytics.
- 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
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