Senior Data Scientist

SoFi Technologies
Charlotte, Seattle, San Francisco, New York
Workplace: OnsiteFull timeUSD 128,000 - 240,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Effective communication","Governance leadership"]

Build and validate advanced anti-money laundering (AML) machine learning models to support customer screening, transaction monitoring, and AML customer risk rating across multiple product lines. Lead AML model lifecycle governance through methodology validation, code reviews, documentation, and performance reporting. Partner with AML Governance to deliver data for risk assessments and internal/external audits, while developing dashboards and maintaining AML data infrastructure, architecture, and integrations.

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FursaFursa
SoFi Technologies
SoFi Technologies
1 month ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 day agoStatus: Live

Job Summary

Build and validate advanced anti-money laundering (AML) machine learning models to support customer screening, transaction monitoring, and AML customer risk rating across multiple product lines. Lead AML model lifecycle governance through methodology validation, code reviews, documentation, and performance reporting. Partner with AML Governance to deliver data for risk assessments and internal/external audits, while developing dashboards and maintaining AML data infrastructure, architecture, and integrations.
Location: Charlotte, Seattle, San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Assist the Anti-Money Laundering (AML) Compliance program with AML model development, implementation, optimization, assessment, and validation for risk-based customer screening, transaction screening, monitoring, and risk rating.
  • •Maintain, test, and configure AML vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance.
  • •Research, compile, and evaluate large data sets to assess quality, integrity, completeness, and suitability for AML model development.
  • •Architect and lead advanced AML models using machine learning and statistical modeling for supervised and unsupervised learning.
  • •Perform AML governance and quality control across the AML model lifecycle, including code reviews, methodology validation, performance metrics, documentation, and reporting to senior management.

Pay and Benefits

Salary: USD 128,000 - 240,000 annually

Key Requirements

  • •Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Finance, Engineering, or a related field.
  • •3+ years of finance industry experience focused on BSA/AML, OFAC, or fraud modeling/analytics.
  • •Strong statistical/data analytical skills, including data quality validation and predictive modeling experience with SQL and Python.
  • •Knowledge of traditional databases, cloud-based computing, and distributed computing to support AML model development.
  • •Proven ability to lead AML governance initiatives such as risk assessments and internal/external audits and regulatory requirements.
Experience:3+ yearsFinanceAMLBSA/AMLOFACFraud modelingRisk assessment
Education:Bachelor's
Skills:Effective communicationGovernance leadership
Certifications:CAMS
Tech Stack:SQLPythonTableauDataDogMonte CarloSnowflakeVerafinLexisNexisTerraformDockerKubernetes

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