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Plaid

Payment Risk Consulting Lead

Plaid

. Own customer proofs of concept and retros from analysis through recommendations and follow-through .

Posted 9/17/2026full-timeSan Francisco • California • United StatesSenior💰 $190,080 - $262,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in customer engagement and data analysis, with a strong focus on optimizing authorization rates and improving decision-making processes. Proficient in SQL and experienced in interpreting quantitative model outputs to drive actionable recommendations.

Highest-signal resume keywords
SQL Data AnalysisRisk Decisioning InterpretationCustomer-Facing ConsultingProcess Improvement in Ambiguous EnvironmentsFraud or Risk-Scoring Experience

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data AnalysisModel Output InterpretationThreshold RecommendationsPerformance DiagnosisQuantitative Analysis
Soft Skills
Communication SkillsCustomer EngagementCollaboration
Industry Keywords
Fraud PreventionRisk ScoringCredit BureauBank Transaction DataCustomer Insights

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Own customer proofs of concept and retros from analysis through recommendations and follow-through
  • Proactively optimize Signal customers, prioritizing accounts with high return rates
  • Read model outputs and diagnose drivers of authorization and return-rate performance
  • Recommend threshold and rules changes aligned with customer risk and authorization goals
  • Help Guarantee customers tune thresholds to achieve target authorization rates while protecting loss performance
  • Partner with AEs and TAMs to bring product and modeling expertise into customer engagements
  • Improve customer decision and return reporting to strengthen their experience and Plaid’s models
  • Turn recurring customer insights into onboarding playbooks and product requirements

Requirements

What you’ll need
  • 5–10 years of experience
  • Comfortable pulling and cutting your own data using SQL
  • Experience interpreting risk, decisioning, or other quantitative model outputs
  • Experience diagnosing performance problems and making data-backed threshold or rules recommendations
  • Strong customer-facing consulting and communication skills
  • Experience partnering across go-to-market and technical teams
  • Demonstrated ability to build repeatable processes in an ambiguous environment
  • Experience at a fraud or risk-scoring vendor, credit bureau, or bank / processor risk team (nice to have)
  • Familiarity with cash flow or bank transaction data (nice to have)

Benefits

Comp & perks
  • Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Reasonable accommodations for candidates with disabilities