Sr. Data Scientist

Sr. Data Scientist – Elevate

Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. We are looking for a Sr Data Scientist to provide complex analysis to drive business decisions for our organization.

• 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.
• 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.
• 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.
• 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.
• 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.
• Excellent communication and presentation skills.
• Experience in consumer lending, risk management, and/or fraud analytics is strongly preferred.

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