GoTyme Bank

Senior Analyst – Credit Strategy, Analytics

GoTyme Bank

full-time

Posted on:

Location Type: Remote

Location: India

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About the role

  • Analyze credit applications, customer profiles, and financial data to assess risk
  • Interpret credit scoring models, behavioral data, and alternative data sources to support credit decisions
  • Assist in setting and refining credit policies and underwriting criteria
  • Work with the business to develop and maintain NPV valuation (financial) models for the lending products, credit strategies, and portfolio performance
  • Monitor performance metrics such as delinquency, default rates, and recovery
  • Conduct cohort and segmentation analysis to identify trends and early warning indicators
  • Support the development of risk dashboards and reporting tools
  • Design, execute, and analyze lending campaigns aimed at driving credit usage, improving repayment behavior, or reducing risk
  • Partner with business, marketing, CRM, and product teams to ensure alignment of campaign goals with credit policies
  • Monitor campaign performance and provide recommendations for optimization
  • Work with business, product, engineering, and collections teams to design and implement lending workflows
  • Provide analytical support during new product rollouts or changes in credit policy
  • Participate in cross-functional discussions on customer experience and product risk
  • Experiment with new tools, techniques, algorithms and methodologies to enhance the bank’s capabilities

Requirements

  • Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline
  • 2–5 years of experience in consumer lending (credit cards or personal loans or BNPL required)
  • Strong SQL for data manipulation and reporting
  • Proficiency in Python for analytics, modeling, and automation
  • Exposure to AI/ML frameworks (advantageous but not required)
  • Proficiency in Excel, and/or data visualization tools (e.g., Tableau, PowerBI)
  • Strong analytical problem-solving skills and attention to detail
  • Excellent communication skills – able to present complex findings in a clear, concise manner.
  • Experience in fintech, digital banking, or technology-driven financial institutions preferred
Benefits
  • Competitive compensation and benefits package
  • Opportunity to apply AI/ML in real-world credit decisioning , from onboarding to collections
  • Work in a remote-first setup with flexible arrangements
  • Collaborate with fintech innovators and a high-performing analytics team
  • Accelerate your career by working at the intersection of data, AI, and financial inclusion

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata manipulationdata visualizationExcelcredit scoring modelsfinancial modelingcohort analysissegmentation analysisrisk analysis
Soft skills
analytical problem-solvingattention to detailcommunication skillscollaborationpresentation skills