Senior Fraud Analyst

About Tala At Tala, we’re applying advanced technology and human creativity to solve what legacy institutions can’t or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today’s financial infrastructure doesn’t work for most of the world’s population. We’re the first and only platform to combine the intelligence of a credit bureau, the payments execution of a fintech, and the relationship expertise of a bank into one vertically integrated solution. Our platform is powered by an expansive moat of proprietary data and AI/ML decisioning technology, enabling us to deliver instant, reliable liquidity personalized to every customer’s needs. Through our flagship credit app, we’ve disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. These customers have leveraged Tala products to start and expand small businesses, manage day‑to‑day needs, and pursue their financial goals. Our pioneering work and proven impact have earned us consistent recognition, including being named to: CNBC’s Disruptor 50 for five years. CNBC’s World’s Top Fintech Companies for two consecutive years. Forbes’ Fintech 50 list for nine consecutive years. Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala’s success. Given the global nature of our team, we operate on a remote‑first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you The Role As our Senior Fraud Analyst, you will partner with Product Managers and domain experts to transform data into clarity and guide the decisions that shape our product roadmap. You will move beyond ad‑hoc requests and reporting to deliver hypothesis‑driven analyses, experiment readouts, and insights that directly influence what we build, when, and why. This is an opportunity to join a growing, centralized analytics team and play a pivotal role in helping our company shift from reactive reporting to proactive, insight‑led decision‑making. What You’ll Do 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. Qualifications 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. Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr