Elevate is looking for a Sr Data Scientist to provide complex analysis to drive business decisions for their online lending platform, specifically focusing on understanding and mitigating fraud risk.
Requirements
- Experience extracting and manipulating data using at least three of the following database technologies Microsoft SQL Server, Large SAS Datasets, Hadoop/Hive, Impala, Access, Oracle, MySQL, etc.
- Proven ability with at least one statistical package such as SAS, R, Python, SPSS, STATA, etc.
- Proficient with MS Office (Excel, Word, PowerPoint) or similar applications.
Responsibilities
- Use a data-driven approach to understand fraud risk and design effective strategies to mitigate 3rd party, 1st party, and post origination fraud.
- Collaborate with 3rd Party data and technology partners to acquire and analyze data that drives fraud strategies.
- Review, evaluate, and drive selection of new vendors or technologies to enhance our fraud strategies and mitigate emerging risks.
- Extract, cleanse, transform, and prepare data from multiple, disparate sources for use in analysis, modeling, and reporting.
- Research and remain current on the latest industry fraud trends and recommend tools, services, and practices for improvement.
Other
- Interact with other teams to gain understanding of how upstream credit and marketing strategies will impact the fraud program; communicate with stakeholders on how fraud program changes will impact them.
- Obtain approvals for implementation of changes to fraud polices and strategy
- Promote a risk-aware culture; ensure efficient and effective risk and compliance management practices by adhering to required standards and processes.
- Minimum 4-year degree (Computer Science, Math, or Business Degree preferred). Graduate degree preferred
- 5+ years data analyst/modeling experience
- Excellent communication and presentation skills
- Experience in consumer lending, risk management, and/or fraud analytics is strongly preferred
