Intern, Data Scientist, Risk Data Analytics

Employee Applicant Privacy NoticeWho We AreShape 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.The RoleAre you passionate about using data to make informed decisions? Do you enjoy digging into large datasets, asking "why" before "how," and turning analytical work into recommendations that leadership acts on? Do you thrive when given the autonomy to scope your own work and run with it? If so, we want you to join the Risk Data Analytics team at SoFi this summer.As a Data Scientist Intern on the Risk Data Analytics team within Independent Risk Management (IRM), you'll work as a full-time member of the team, paired with a senior mentor, and own a meaningful end-to-end analytical project. Your work will contribute directly to how SoFi measures, monitors, and manages risk across risk stripes.Who You AreRisk analytics is a job of judgment under ambiguity. The data is messy, the questions are open-ended, and the recommendations land in front of senior leaders who act on them. That mix rewards a specific set of habits and values. You'll fit well on this team if you're: Entrepreneurial:You move fast, make decisions, and pivot as new information lands. You look for creative solutions, aren't afraid to fail forward, and believe in continuous learning.Quantitative:You think in terms of probability and base your judgement on sound statistical principles applied in a business context.Qualitative:You explore data to understand the "why" before jumping to the "how," and you bring narrative and judgment to the numbers.Act as founders: You own your work end-to-end and make your footprint bigger than your foot. You check in when it matters and figure things out when it doesn't. What You’ll DoOwn an end-to-end analytical project from scoping through final leadership memo, with guidance from a senior mentorPartner with stakeholders across Risk, Compliance, and the business lines to translate open-ended questions into structured analytical approachesExplore large datasets using SQL and Python to identify patterns, anomalies, and statistical relationshipsApply the right statistical and machine-learning methods to the problem; from hypothesis testing and regression to classification and causal-inference techniquesBuild production-quality data pipelines using dbt and Snowflake so your analysis can be refreshed, monitored, and used over timeCreate Tableau dashboards, Streamlit or React applications, and other artifacts that make your analysis usable by leaders and operatorsWrite clear, concise documentation that explain what you did, what you found, and what you recommendPresent your findings to technical and non-technical audiences, including senior leadershipLearn new tools, technologies, and domain concepts quickly; risk analytics in financial services is a deep space, and you'll be developing both your technical and contextual knowledge throughout the summerWhat You’ll NeedEnrolled in an accredited US-based university (working towards a Bachelor's or Master's degree) with an expected graduation date of December 2026 or Spring 2027Must be returning to school for at least one quarter or semester after the internshipHave no more than 12 months of professional full-time work experience (excluding internships and research assistant roles)Must be willing to relocate to San Francisco Bay Area and be available to work in the San Francisco office at a hybrid capacity (2-3x a week)Proficiency in SQL and PythonSolid foundation in probability and statistics, including hypothesis testing and regressionExperience analyzing datasets and identifying trends, patterns, and anomalies; ideally in a non-academic setting (internship, research role, or substantive project)Strong written and verbal communication skills; the ability to explain technical work clearly to non-technical audiencesIntellectual curiosity and the drive to push through ambiguity to a clear, defensible answerNice To HaveAcademic background in Software Engineering, Economics, Statistics, Finance, or a related quantitative fieldExposure to machine-learning techniques relevant to risk analytics, such as anomaly detection, classification on imbalanced data, or NLPFamiliarity with dbt, Tableau, SnowflakeExperience using AI / agentic tools beyond ChatGPT Prior exposure to financial services, compliance, or other regulated industriesInternship Perks Access to senior leadership, including exclusive Q&A sessions with executives across all functions of SoFiExclusive opportunities to deliver a case study to SoFi leaders Development sessions for career, financial, and professional growthOpportunities to participate in company wide events like All-Hands and SoFi circles programmingNetworking socials to connect with fellow internsSoFi swag giveawaysWe offer incoming interns the flexibility to select from two potential start dates:Cohort 1: Monday, June 1st, 2026 to Friday, August 21st, 2026Cohort 2: Monday, June 15th, 2026 to Friday, September 4th, 2026Why You'll Love Working Here> Internship Benefits: View Link> Full Time University Grad Benefits: View LinkInternship Highlights IncludeIn addition to a unique and challenging professional experience, interns will also receive perks such as invites to Member events, and more!Personalized Mentorship ProgramFully stocked kitchen (snacks & drinks)Access to senior leadership, including round tables with executives across all functions of SoFiSoFi 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.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.