We have been retained by our client located in Fort Worth, Texas (south Ft Worth area), to deliver a Risk Modeler on a regular full-time basis. We prefer SAS experience but are interviewing candidates with R, SPSS, WPS, MatLab or similar statistical package experience if candidate has experience from financial loan credit risk analysis industry. Enjoy all the resources of a big company, none of problems that small companies have. This company has doubled in size in 3 years. We have a keen interest in finding a business minded statistical modeling candidate with some credit risk experience to build statistical models within the marketing, direct mail areas of financial services, lending, loans. We are seeking a candidate with statistical modeling, and data analysis skills, interested in creating better ways to solve problems in order to increase loan originations, and decrease loan defaults, and more. Our client is in business to find prospective borrowers, originate loans, provide loans, service loans, process loans and collect loan payments. The team works with third party data vendors, credit reporting agencies and data service providers, data augmentation, address standardization, fraud detection; decision sciences, analytics, and this position includes create of statistical models. They support the one of the, if not the largest profile of decision management in the US.
We require experience with statistical analysis tools such as SAS, Matlab, R, WPS or SPSS or Python if to do statistical analysis. This is a statistical modeling, risk modeling, model building, decision science, data analysis and statistical analysis type of role requiring SQL and/or SQL Server experience and critical thinking skills to solve problems. We prefer candidates with experience with data analysis, SQL queries, joins (left, inner, outer, right), reporting from data warehouses with tools such as Tableau, COGNOS, Looker, Business Objects. We prefer candidates with financial and loan experience especially knowledge of loan originations, borrower profiles or demographics, modeling loan defaults, statistical analysis i.e. Gini Coefficients and K-S test / Kolmogorov-Smirnov test for credit scoring and default prediction and modeling.
However, primarily critical thinking skills, and statistical modeling and math / statistics skills are needed to fulfill the tasks of this very interesting and important role, including playing an important role growing your skills within this small risk/modeling team. Take on challenges in the creation and use of statistical models. There is no use for Hadoop, or any NoSQL databases in this position this is not a big data type of position. no "big data" type things needed. There is no Machine Learning or Artificial Intelligence needed in this role. Your role is to create and use those statistical models. Create statistical models for direct mail in financial lending space to reach the right customers with the right profiles / demographics / credit ratings, etc. Take credit risk, credit analysis, loan data and build a new model, or validate the existing model, or recalibrate it or rebuild it completely. The models are focused on delivering answers to questions or solutions to problems within these areas financial loan lending: Risk Analysis, Credit Analysis, Direct Marketing, Direct Mail, and Defaults. Logistical regression in SAS or Knowledge Studio, and some light use of Looker as the B.I. tool on top of SQL Server data. Deliver solutions or ways for this business to make improvements in these areas and help the business be more profitable. Seek answers to questions. Seek solutions to problems. Create models. Dig into the data. Explore and find opportunities to improve the business. Expected to fit within the boundaries of defaults or loan values and help drive the business with ideas to get a better models in place, or explore data sources to get better models in place. Use critical thinking to solve problems.
Answer questions or solve problems such as:
What are the statistical models needed to produce the answers to solve risk analysis and credit analysis problems?
What are customer profiles have the best demographics or credit risk for loans to send direct mail items to as direct marketing pieces?
Why are loan defaults increasing or decreasing? What is impacting the increase or decrease of loan defaults?
Bachelors degree in Statistics or Finance or Economics or Management Information Systems or Math or Quantitative Business Analysis or Analytics any other related math or science or finance degree. Some loan/lending business domain work experience.
Masters degree preferred, but not required.
Critical thinking skills.
must have SQL skills (any database SQL Server, MS Access, Oracle, PostgresSQL, Postgres) and the ability to write queries, joins, inner joins, left joins, right joins, outer joins. SQL Server is highly preferred.
Any statistical analysis systems / packages experience including statistical modeling experience, and excellent math skills: SAS, Matlab, R, WPS, SPSS or Python with R language if used in statistical analysis. Must have significant statistical modeling skills and experience.
Loan Credit Analysis highly preferred. SAS highly preferred.
Experience with Tableu, Cognos, Business Objects, Looker or similar data warehouse data slicing and dicing and data warehouse reporting tools. Creating reports from data warehouse data, or data warehouse reporting. SQL Server SSAS but only to pull reports. Direct marketing, direct mail marketing, loan/lending to somewhat higher risk borrowers.
Employment Type: Regular Full-Time
Salary Range: $85,000 130,000 / year
Benefits: health, medical, dental, vision only cost employee about $100 per month.
401k 4% matching after 1 year, Bonus structure, paid vacation, paid holidays, paid sick days.
Relocation assistance is an option that can be provided, for a very well qualified candidate. Local candidates are preferred.
Location: Fort Worth, Texas
(area south of downtown Fort Worth, Texas)
Immigration: US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.
Please apply with resume (MS Word format preferred), and also Apply with your Resume or apply with your Linked In Profile via the buttons on the bottom of this Job Posting page:
Please call 817-424-1411 or please send a Text to 817-601-7238 to inquire or to follow up on your resume application. Yes, we recommend you call to leave a message, or send a text with your name, at least. Thank you for your attention and efforts.