Job Description

About the Role
Wells Fargo Card and Merchant Services (CMS) team supports our direct-to-consumer lending products which include consumer credit cards, co-brand cards and loyalty programs. Key areas of business include product management, marketing ,strategy and innovation, loan operations, inbound/outbound sales and and systems management.
Analytics and decision sciences team provides strategic analysis, reporting and insights to help business decisions in various parts of the business which includes customer acquisition, portfolio management, rewards management, retention , payments and customer experience.

In this role, you will
Lead and drive the offshore cards portfolio analytics team to deliver on the on the assigned projects, manage team members and project delivery
Perform analysis and create insights to help the credit card product owners, marketing teams to increase product engagement and generate revenues
Develop business segmentation, customer profiling, benchmarking , forecasting, perform vintage analysis and create strategies around cards portfolio management , rewards & loyalty , retention activities and increase acquisition funnel for branches
Support the business to understand spend and balance behavior, activity rate, attrition, revenue, rewards earn rate using insightful analytic
Advise line of business on business strategies based on performance metrics, trends in population distributions, predictive scenario modeling, and other complex data to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
Work on thought leadership analytical ideas to drive the cards business from acquisition to retention
Provide leadership in the identification and development of new research concepts and designs
Essential Qualifications/ Skill requirement
BS/BTech degree or higher in a quantitative field such as applied math, statistics, economics , engineering, physics
Minimum of 8 years hands-on experience in data analysis, reporting and modeling
1 years management experience
Strong analytical, technical and statistical skills, high conceptual problem-solving, high level of comfort in dealing with unstructured, white space problems
Demonstrated experience with techniques, programming, and tools relevant to statistical modeling and analysis including a high level of proficiency with large databases/data warehouse (Oracle, Teradata) and tools such as SAS / SQL / Pytho
Experience in working on statistical techniques like segmentation, regression, Decision trees, time series forecasting and optimization models
Credit card or Financial sector experience with experience of conducting root cause analysis, vintage analysis , profitability analysis , business segment deep dives
Intellectually curious/ quick thinker and a thought leader
Good data interpretation and presentation skills
A true team player and collaborator, translating prior knowledge and experience into strong and productive relationships internally and externally
Dedicated, enthusiastic, driven and performance-oriented and capable of handling multiple projects simultaneously
Possesses a strong work ethic and thrives in a collaborative team environment and is able to work effectively with teams in remote locations
Excellent verbal, written, and interpersonal communication skills and demonstrate strong presentation skills
Engage with cross culture team members and stake holders
Required Technical Skills
Languages: SQL, SAS , Python
BI Tools: Tableau/ Power BI , Excel
Knowledge of statistical techniques like Regression , Clustering, CHAID, Time series Forecasting , GBM
Preferred Skills
Demonstrated Statistical Modeling/ ML experience
Post Graduate degree (M.Tech./M.Sc. or equivalent) in any quantitative subjects like Statistics, Mathematics, Computers or Economics is a good to have.
Education: Any Graduate
Industry: Financial Services/Stockbroking, Banking

Skills Required