Fraud Model Developer

SoFi Technologies
United States
Workplace: OnsiteFull timeUSD 128,000 - 240,000 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Analytical","Problem-solving","Collaboration","Communication","Ownership"]

Develop and monitor machine learning fraud models to support data-driven fraud and risk decisions across key SoFi products, including Personal Loans, Student Loans, Credit Cards, and Crypto. Build statistical and ML solutions to reduce fraud losses and false positives, analyze model and product performance to identify loss drivers, and automate monitoring, reporting, and dashboards. Partner with Risk, Operations, Product, Engineering, and Finance to translate findings into actionable recommendations.

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FursaFursa
SoFi Technologies
SoFi Technologies
2 days ago

Fraud Model Developer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and monitor machine learning fraud models to support data-driven fraud and risk decisions across key SoFi products, including Personal Loans, Student Loans, Credit Cards, and Crypto. Build statistical and ML solutions to reduce fraud losses and false positives, analyze model and product performance to identify loss drivers, and automate monitoring, reporting, and dashboards. Partner with Risk, Operations, Product, Engineering, and Finance to translate findings into actionable recommendations.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop quantitative, statistical, and machine learning models to reduce fraud losses, minimize false positives, and lower fraud-related operational expenses.
  • •Aggregate, clean, and synthesize large datasets from multiple data environments to support model development and analysis.
  • •Design, test, validate, and recalibrate fraud models using appropriate statistical and ML methodologies.
  • •Monitor model performance to detect degradation, data drift, and changes in fraud behavior.
  • •Automate model-monitoring processes and analytical reporting; translate model results into recommendations for business and risk partners.

Pay and Benefits

Salary: USD 128,000 - 240,000 annually

Key Requirements

  • •5+ years of experience in fraud modeling, loss forecasting, advanced quantitative modeling, machine learning, or a related field.
  • •Master’s or doctoral degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent relevant experience.
  • •Advanced proficiency in Python and SQL for data analysis, feature development, and ML model development.
  • •Experience creating analytical reports or dashboards using Tableau or a comparable data-visualization tool.
  • •Experience developing and evaluating statistical and machine learning models, including linear/logistic regression, decision trees, gradient boosting, random forests, neural networks, or clustering.
Experience:5+ yearsFintechFinancial servicesBankingLendingPaymentsDigital assets
Education:Master's in Statistics, Mathematics, Economics, Engineering, Computer Science
Skills:AnalyticalProblem-solvingCollaborationCommunicationOwnership
Languages:English
Tech Stack:PythonSQLTableauAWSLinear regressionLogistic regressionDecision treesGradient boostingRandom forestsNeural networksClustering

Company Brief

SoFi Technologies
Provides digital financial services including lending, banking, investing, and credit products through a consumer-focused online platform. SoFi serves individuals looking to manage money, borrow, save, invest, and protect their finances in one place.
Industry: Neobanking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn