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Tala, formerly InVenture, leverages mobile technologies and data science to expand financial access, control, and selection to underserved populations around th
Senior Fraud Analyst
Location
Mexico
Posted
149 days ago
Salary
0
Seniority
Senior
Job Description
Senior Fraud Analyst
Tala
• 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.
Job 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
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