Social Finance Inc. seeks Senior Strategy Analyst, Fraud Prevention in San Francisco, CA:

Job Duties: Aggregate and synthesize data sets from multiple data environments. Analyze 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, operations, and product teams to implement
new fraud prevention-oriented features. Telecommuting is an option.

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Informatics,
Engineering, or closely related quantitative discipline, and two (2) years of experience in job offered or
in any occupation in a related field, OR Bachelor’s degree, or foreign equivalent, in Data Science,
Informatics, Engineering or closely related quantitative discipline and five (5) years of progressively
responsible experience in job offered or in any occupation in a related field.

Special Skill Requirements: (1) Python; (2) SQL; (3) Tableau; (4) Regression Models; (5) Decision Tree; (6)
XGBoost; (7) Advanced Statistics; (8) Data Platform Operations; (9) Cloud Computing; (10) Agile
Development and Project Management; (11) NLP; (12) Airflow. Any suitable combination of education,
training and/or experience is acceptable. Telecommuting is an option.

Salary: $135,720.00 - $156,078.00 per annum.

Submit resume with references to: Req.# 22-132762 at: ATTN: HR, jobadverts@sofi.org.

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