Staff Data Scientist, ML (Credit Risk)

Robinhood
Menlo Park, New York, Washington
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Build credit risk models for customer acquisitions and management, leveraging traditional and non-traditional data to create predictive risk models. Own the full lifecycle from data prep to deployment, collaborate with analysts, product managers, and engineering, and communicate insights to senior stakeholders across credit, product, and tech teams.

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Robinhood
Robinhood
3 months ago

Staff Data Scientist, ML (Credit Risk)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build credit risk models for customer acquisitions and management, leveraging traditional and non-traditional data to create predictive risk models. Own the full lifecycle from data prep to deployment, collaborate with analysts, product managers, and engineering, and communicate insights to senior stakeholders across credit, product, and tech teams.
Location: Menlo Park, New York, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management.
  • •Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them.
  • •Create rich datasets leveraging traditional and non-traditional data sources and develop features to boost model performance.
  • •Deploy, maintain and monitor models in production.
  • •Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance401kEquityLife InsuranceParental Leave

Key Requirements

  • •7+ years of experience in data science and credit modeling
  • •Strong proficiency in SQL and Python for data analysis and modeling
  • •Experience designing experiments and interpreting results to guide product decisions
  • •Domain knowledge and expertise in traditional credit data; non-traditional data (e.g., cash flow) a plus
  • •Excellent communication with both technical and non-technical partners
Experience:7+ yearsCredit riskFinanceBanking
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:SQLPythonMachine learningProductionExperimentationCredit risk modeling

Company Brief

Robinhood
Commission-free trading platform offering stocks, ETFs, options, and cryptocurrencies, plus cash management and retirement products. Aims to democratize finance through easy-to-use mobile and web apps for retail investors.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Menlo Park, United States
Founded: 2013
WebsiteLinkedIn