Company Summary:
A top consumer lending fintech in the Dallas area is in high growth mode and looking to expand their analytics division. This role would require an individual with a highly quantitative background who has experience using SAS, SQL, and other query tools in the subprime lending sector. The ideal candidate can work with large databases and facilitate extensive inquiries. Experience with data mining is highly preferred.
Responsibilities:
- Manage a team of data scientists, machine learning engineers and big data specialists
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
Qualifications:
- Bachelor's degree required (Master's degree preferred) in quantitative background such as statistics, engineering, etc
- Proficient use of query tools (SQL, SAS, R)
- 6+ years of experience
- Decision analytics, risk modeling and/or predictive statistics background
- Experience with data architecture, data mining and data integration
Benefits:
- Health care
- PTO