Senior Strategy Analyst job at SoFi - Social Finance in CA

Remote, USA Full-time
Title: Senior Strategy Analyst Location: San Francisco United States Job Description: Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. 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. Minimum 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. Special Skill Requirements: (1) Performing financial data analysis; (2) Decision tree models; (3) Time series forecasting; (4) A/B testing; (5) Multivariate analysis; (6) Principal component analysis; (7) SQL; (8) 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. Part-time telecommuting is an option. Hybrid work from company office in San Francisco, CA. Salary: $179,882.33 - $197,870.56 per annum. #LI-DNI Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: Salary: $179,882.33 - $197,870.56 per annum Payment frequency: Annual SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply tot his job
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