Data Analyst, Fraud Detection (Wichita, KS)

This role will be responsible for developing, implementing and monitoring loan approval models that will result in increased acceptance rates and lower default rates of our various consumer loan products. The objective of the role is to develop, implement, monitor and adjust our credit risk strategies to help manage and grow the loan portfolio by optimizing values of each loan application and customer. The business operates in “test and learn” culture, where for each of our key credit risk decisions you will help develop challenger strategies, rolling out successful strategies to champion status, pulling unsuccessful ones quickly, helping develop new challengers. Fraud Data Management – THE challenger in the current climate and especially in the consumer lending sectors, has become more and more key. To help realize the client’s objectives, this Sr. Fraud Data Analyst role will have a vital part to play, challenging, but also supporting the individual businesses and management. Fraud Data Management will be present and active in all the different Business Management Teams, with the aim to make all risks transparent and understood.

Various responsibilities starting in Business and Finance and ending in Information Technology. Start Up, Launch, and, Enhance new product development to meet loan regulatory and compliance requirements for new Internet Lending Practice. Web originated loan underwriting will be a Web 2.0 product for branding and channel sales. Work extensively with business analysts, programmers and testers, taking product from theory to production. Report directly to President – From his desk :

"Put another way, consumer lending companies are becoming much more interested in understanding their customers’ lives and psyches, because, the theory goes, knowing what makes cardholders tick will help firms determine who is a good bet and who should be shown the door as quickly as possible. Luckily for the industry, small groups of executives at most of the large firms like ours, have spent the last decade studying our customers from almost every angle, and collection agencies have developed more sophisticated dunning techniques. We’ve draw psychological and behavioral lessons from the enormous amounts of data the credit- lending companies collect every day. They’ve run thousands of tests and crunched the numbers on millions of accounts. "

Salary : 90K Plus - D.O.E.
Relocation : Available
Permanent position in the Midwest.
( Wichita - Ranked 2 as most "Livable Communities" for its size : http://www.wichitakansas.org. and more recently, one of ten ’ All American Cities ‘ :
http://www.wichitakansas.org/user/file/All_America_City.pdf)

Must be a US Citizen or hold a Green Card

DUTIES & RESPONSIBILITIES:

We’re looking for an accomplished Fraud Data Analyst to join our client’s exponentially growing Web Services for consumer lending. The incumbent will perform trend and link analysis to detect fraudulent patterns and trends from executing intense data extraction updates and iterative data analysis from 5 major credit reporting clearinghouses used by the client in their sub-prime markets. The FDA’s role will include a significant amount of data extraction, analysis and ad hoc reporting, using Microsoft SQL Server’s SSIS, and client’s proprietary business intelligence solutions to identify emerging lending fraud trends, develop and define strategies to support lending fraud detection optimization, and provide leadership in developing new areas of analysis to support our growing business lines. The FDA will interface primarily with client’s Business Service Teams, but may also expect to communicate directly with their key customer accounts. Finally, the FDA incumbent, must have Subject Master Expertise (SME) of SQL data bases and SAS tools.

ESSENTIAL DUTIES & RESPONSIBILITIES:

Provides on-going analytics and policy recommendations for client’s web-services lending products. The incumbent will possess the appropriate background in Fraud Mitigation Software and quantitative, analytical acumen. The FDA should possess prior experience (ideally 5 plus years noted below), working with quantitative resources, combined with performing complex analysis and/or modeling to identify patterns of fraudulent transactions. Continuous analysis of loss data, recommend / implement appropriate loss prevention strategies, along with developing and producing performance monitoring MIS and ad-hoc reporting to senior management .

KNOWLEDGE AND EXPERIENCE

• 5+ years experience with combined online consumer lending and sub-prime risk analysis, or other high volume data intensive environments (i.e. marketing /web analytics). Previous experience with a high online transaction volume environment is highly considered.
• 5+ years experience working with Microsoft SQL Server and SQL Reporting Services, BI Tools Suite, combined with strong analytical skills in their previous experience working with large volumes of transactional data.
• Proficient in SAS, SQL and Excel. Hands-on ETL and/or SSIS strongly preferred.
• Familiarity of online risk prevention strategies, lending processing, charge backs and fraud screening techniques is a must .
• Demonstratable high energy/creativity and an aptitude for fraud loss mitigation a must
• Demonstratable ability to deliver analyses and reports for business user consumption, identifying complex causal relationships and enabling optimal decision making.
• Demonstratable interface and communication with upper management a must
• Previous experience working directly with external and internal customers in a consultative role.
• Excellent written and verbal communication skills.
• Bachelor’s degree with emphasis in statistics and/or mathematics is highly desirable; master’s degree is preferred but not required.

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