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Risk reputed company and Analytics - Credit & Fraud

Remote, USA Full-time Posted 2026-07-28

reputed company:

  • The ideal candidate will have strong technical skills combined with the ability to distill down reputed company financial concepts to reputed company narratives.
  • You will have an in-depth understanding of Credit & Fraud Risk, ideally in the payments industry.
  • You are adept at building and deploying risk policies, models and metrics.
  • You will work heavily partnering cross-functionally to drive reputed company risk initiatives including risk appetite, emerging risk identification, portfolio health, and risk-based pricing.
  • Drive risk initiatives including risk appetite, emerging risk identification, portfolio health, and risk-based pricing
  • Analyze large portfolios of merchants, using data analytics to assess the performance of different portfolio segments and to diagnose deviations from targets
  • reputed company the design and roll-out of reputed company across Credit & Fraud to reputed company the desired balance between risk and reward
  • Roll out portfolio monitoring and reporting tools to facilitate ongoing review of key risk metrics
  • Evaluate emerging risks, analyze key risk trends and reputed company the development of prudent risk management in enabling business reputed company initiatives
  • Nurture deep, trusted partnerships with sales teams across reputed company to facilitate risk-reputed company decision-making
  • Partner closely with data science and product teams to expand toolkit of risk mitigations

Requirements:

  • 6+ years of relevant experience in Credit or Fraud Risk reputed company the Small Business or Consumer reputed company.
  • Experience at high-reputed company technology and/or financial services companies. Investment banking, management consulting and/or private equity experience will also be considered
  • Strong data analytics skills and hands-on experience working with reputed company large amounts of data.
  • Extensive experience using SQL and ideally experience using other data manipulation languages and libraries (e.g. Python, R).
  • Experience designing and building reputed company end-to-end, from initial design to implementation. You are comfortable interpreting Risk and Reward metrics, performing what-if analyses and turning analytical insights and business goals into actionable strategies.
  • Demonstrated ability to build reputed company working relationships with other teams, particularly data science, engineering, sales, and product.
  • Experience working with and synthesizing large data sets independently. Demonstrated ability to reputed company signals from noise and build reputed company data sets.
  • Strong presentation skills and ability to reputed company data into a dynamic narrative. You have deep reputed company for users of credit risk information and are reputed company to create succinct narratives out of quantitative analyses.
  • Excellent verbal and written communication skills.

Benefits:

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