Senior Strategy Analyst

SoFi • San Francisco, CA

18h • Hybrid

About The Position

Social Finance, LLC seeks Senior Strategy Analyst in San Francisco, CA: Job Duties: Own the card/credit & debit card transaction fraud prevention strategies. Perform data analytics to support the credit card business from fraud losses. 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. Analyzing complex datasets to understand aggregate performance of fraud decisioning and granular performance of multiple decision methods. Part-time telecommuting is an option. Hybrid work from company office in San Francisco, CA.

Requirements

• Master’s degree or foreign equivalent in Business Analytics, Finance, or related field, and two (2) years of experience in the job offered or any occupation in a related field.
• Performing financial data analysis
• Decision tree models
• Time series forecasting
• A/B testing
• Multivariate analysis
• Principal component analysis
• SQL
• Linear and logistic regression
• Any suitable combination of education, training and/or experience is acceptable. Skills may be gained through academic coursework or employment experience.

Responsibilities

• Own the card/credit & debit card transaction fraud prevention strategies.
• Perform data analytics to support the credit card business from fraud losses.
• 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.
• Analyzing complex datasets to understand aggregate performance of fraud decisioning and granular performance of multiple decision methods.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees