Tala

Senior Fraud Analyst

Tala

full-time

Posted on:

Location Type: Remote

Location: Mexico

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Job Level

Senior

Tech Stack

SQL

About the role

  • Proactively Monitor and Analyze Fraud Trends: Take ownership of fraud trends, analyze fraud controls, and provide recommendations to mitigate fraud.
  • Manage Key Performance Indicators (KPIs): Own the fraud KPIs for your assigned markets, ensuring they align with and contribute to global metrics.
  • Develop and Optimize Fraud Rules: Create and manage fraud rules, regularly evaluating their effectiveness by monitoring for good user impact, false negatives, and degradation. Continuously analyze data and trends to develop new rules and alerts.
  • Contribute to Global Fraud Strategy: Play a key role in the creation, tuning, and monitoring of fraud models.
  • Collaborate and Share Findings: Consistently share findings with key cross-collaboration partners such as the global fraud analysts, operations, data science, product managers, and engineering teams. Stay informed about business changes in-market, global fraud trends, and provide support to other markets as needed.
  • Collaborate with PMs and domain experts to define fraud systems requirements
  • Write efficient SQL queries and work with well-modeled data to generate reliable insights.
  • Design and analyze experiments (A/B tests), presenting results with statistical rigor and actionable recommendations.
  • Build and maintain dashboards and reusable metric definitions to enable self-service and consistent decision-making.
  • Identify patterns, trends, and opportunities proactively and escalate to relevant parties.
  • Document analyses and results in a central knowledge base to create leverage and prevent duplication.

Requirements

  • 4+ years of experience as a Fraud, Trust & Safety, or Risk Analyst, or similar role.
  • 3+ years of experience in financial services or a related field within the fintech or digital lending industry.
  • Bachelor in math, statistics, economics, business or related fields.
  • Strong SQL skills and familiarity with modern analytics stacks (e.g. Snowflake, dbt, BI tools like Looker/Omni).
  • Comfort working with product funnels, retention cohorts, and experiment design.
  • Ability to translate business questions into structured analyses and clear recommendations.
  • Excellent communication skills — able to tell a compelling story with data.
  • Growth mindset and eagerness to learn new tools, frameworks, and business domains.
Benefits
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

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

Hard skills
SQLdata analysisfraud detectionA/B testingstatistical analysisKPI managementfraud rule developmentdata modelingdashboard creationmetrics definition
Soft skills
communicationcollaborationproblem-solvinganalytical thinkingstorytelling with datagrowth mindsetadaptabilityproactive identificationrecommendation formulationcross-functional teamwork