jobapplier

Fraud Strategist

Plaid

Skills

Required

  • ML
  • data science
  • ML engineering

Join Plaid, a leading fintech company, as a Fraud Strategist. In this role, you will be responsible for building and maturing our retro-as-a-service and POC program, driving adoption of our fraud products, and serving as a feedback loop between customers and product. You will work closely with customers to help them understand the ROI of our fraud products and drive post-retro follow-through to convert retro results into production usage. This is a customer-facing analytical role that requires 5-10 years of experience in fintech, financial services, or a related domain.

We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

About Plaid

[Nice to have] Experience in fraud, identity, or risk — either from a fraud prevention vendor, a fraud team at a bank or fintech, or consulting on risk engagements

Responsibilities

  • Responsable de la construction et de l'amélioration de notre programme retro-as-a-service et POC, et de l'adoption de nos produits de fraude.
  • Collaborer avec les clients et les parties prenantes internes pour comprendre le retour sur investissement de Protect et faire des recommandations pour la mise en œuvre de nos produits de fraude.
  • Servir de boucle de rétroaction entre les clients et le produit pour orienter notre feuille de route Protect.

Requirements

  • Comfort interpreting ML model output (e.g., precision/recall, score distributions) and explaining it to a non-technical audience
  • Experience managing consultative customer engagements where you owned the deliverable and the relationship

Experience working closely with data science teams

  • 5-10 years of experience in a customer-facing analytical role in fintech, financial services, or a related domain (e.g., software/tech)
  • [Nice to have] Background in data science or ML engineering, particularly on a fraud or risk team

Pay

USD 181,200 - 265,800