Tell a Friend

Success Stories

From my very first contact with Recruit Arrow, through the application process, interviews, and my acceptance of the position, this service was an invaluable asset. My recruiter gave me insight into the company by sharing her own experiences and views.

READ MORE

Related Category Jobs:

JOB CENTER

Your Window to a World of Opportunities

VP, DM Business Analytics Manager
Location : New York, Long Island City
Refer job # EMJQ339337

Job Responsibilities and Requirements: Key Responsibilities Lead analytics for Upgrades & Conversions programs to engage existing card members. Develop analytically derived omni-channel targeting, offer, and communication strategies to drive profitable long-term customer engagement through product upgrades and conversions. Developing industry leading statistical targeting and behavioral models that deliver business results meeting and exceeding our goals. Identify actionable customer insights based on internal and external customer behavioral and financial data. Develop sound program impact forecasting (both financial impact and customer behavior) and track program impact over time in order to build knowledge about how each treatment impacts the portfolio dynamics. Continuously improve program efficiency through test and learn on targeting and offer strategy to deliver business results that meet and exceed our goals. Manage score cards and MIS , and track program impact over time in order to build knowledge about how each treatment impacts the portfolio dynamics. Be able to identify root causes for forecast to actual variance. Work closely with business partners in Decision Management, Risk Management, Marketing, Finance, Legal and Compliance. Bachelors level degree required with background in Statistics, Economics, Engineering, Business, Operations Research or similar discipline (Masters preferred). 1-3 years working experience in an quantitative field, Financial/Credit Card industry preferred Strong analytical and practical problem solving abilities. Understanding of the consumer lending market, customer life cycle, and P&L. Knowledge in segmentation, modeling, and optimization. Know-how on analytic tools (SAS E- miner, Knowledge Seeker, SPSS etc.) and methodologies (regression, CHAID, simulation, etc.). Big data and machine learning experiences are strongly preferred (R, Python etc.).



[Apply Now] [Email to a Colleague] This particular job is currently not active. However, since our clients regularly share with us similar and other job openings, we strongly recommend that you submit your resume. We shall review your resume and get in touch with you as soon as a suitable vacancy comes up to further discuss your interest in exploring the opportunity.Assisting you is our highest priority. Please be assured that none of your materials will be forwarded to any employer without your consent. Of course, all inquiries are kept strictly confidential.

Newsletter and Job Updates