Social Finance Inc. seeks Senior Analyst, Fraud Prevention in San Francisco, CA:
Job Duties: Aggregate and synthesize data sets from multiple data environments. Analyzing complex
datasets to understand aggregate performance of fraud decisioning and granular performance of
multiple decision methods. Develop new data driven rules that optimize decisioning performance
between Member experience and fraud prevention. Work with external fraud prevention vendors to
optimize their performance. Work with business teams and product teams to implement new fraud
prevention-oriented features. Telecommuting is an option.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Risk
Management, or a related quantitative discipline, and two (2) years of experience in the field of business
analytics/systems analysis or two (2) years of experience in the job offered OR Bachelor’s degree (or its
foreign degree equivalent) in Computer Science, Risk Management, or a related quantitative discipline,
and five (5) years of progressively responsible experience in the field of business analytics/systems
analysis or five (5) years of experience in the job offered.
Special Skill Requirements: (1) SAS; (2) Python; (3) R; (4) Hadoop; (5) Tableau; (6) Alteryx; (7) RStudio; (8)
AWS; and (9) Machine Learning. Any suitable combination of education, training and/or experience is
acceptable. Telecommuting is an option.
Salary: $152,000.00 - $174,800.00 per annum.
Submit resume with references to: Req.# 21-14716 at: ATTN: Rae Myles, rmyles@sofi.org.

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