Data Analyst, Credit Services (Wichita, KS)
Headquartered in Wichita Kansas, Client is a rapidly growing provider of consumer financial services. Since opening their first store in 1997 in Riverside, California, they have successfully expanded to nine states and eighty-two retail locations. Client is currently the leading small short term lender in the brick and mortar store market place in terms of top line revenue and bottom line profitability. In the last 12 months Client has also developed and is rapidly expanding an online loan businesses with intentions of achieving superior market share in this space.
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 and helping develop new challengers. Risk 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. Credit Data Analyst role will have a vital part to play, challenging, but also supporting individual businesses and management. Risk Data Management is 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 an eLoan / Web 2.0 product for branding and channel sales. 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 is, 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 have sought to 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. "
DUTIES & RESPONSIBILITIES:
- Develop, Build and Deploy various statistical models used for loan loss minimization, loss forecasting, and other targeted analysis.
- Provide direct support to the operations group in the evaluation and analysis of all consumer credit risk.
- Analyze portfolio level information to identify and monitor key risk factors and develop proposed solutions.
- Perform ad-hoc analysis of consumer portfolios.
- Report and analyze characteristics of the Consumer Credit lines of business in relation to policies, guidelines and processes.
- Deliver portfolio analysis and performance metrics as well as create insight into new areas of concern or benefit for the portfolio.
- Monitor and evaluate problem loan statistics. Ensure that appropriate reporting of activity is occurring consistent with company policy.
- Identify and communicate potential policy and or operational improvements that will enhance credit quality.
- Build analytic and modeling infrastructure and capability for quick turn around
- Effectively communicate results, program or analysis progress, risks and issues to key stakeholders
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.
- Strong understanding of consumer finance industry. Sub-prime and non-secured loans a plus.
- Demonstrated ability to learn and understand various applications and business intelligence/database tools.
- Extensive quantitative analytics experience
- Knowledge of credit report attributes and non-traditional data attributes
- Experience in logistic regression, CHAID and decision trees.
- Excellent analytical, verbal and written communication skills.
- Demonstrated ability to interpret data and determine next steps.
- Demonstrated ability to work with significant volumes of data in various formats and databases.
- Technical knowledge of data warehouses, data infrastructure and working with large files in various formats
- Extensive experience in data mining and reporting, default modeling, and loan portfolio analytics
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
Contact: tbirdsell@kc.rr.com
URL: www.datashaping.com/jobs18182x.shtml
Please mention datashaping.com when applying. Thank you.
