Fraud Operations Analyst

🇲🇽 Mexico City, CDMX
$2K - $2K Annual
Posted 3 weeks ago
Expires July 20, 2026

FRAUD OPS ANALYST

ABOUT NELO

Nelo is a leading consumer fintech and e-commerce platform in Mexico, with >$500MM in annualized GMV and >$75MM in annualized revenue.

Our mission is to increase the buying power of consumers in Latin America, and we are doing so by building a modern alternative to credit cards. Nelo has raised over $40M of venture capital from investors including Homebrew, Two Sigma Ventures and Susa Ventures. Nelo has additionally raised a $100M asset credit facility from Victory Park Capital.

Our lean team includes experienced leaders from top technology companies including Uber, Amazon, Rappi, and DiDi.

We pride ourselves on our velocity, intellectual rigor, and efficiency. Nelo has offices in Mexico City and New York City.

ABOUT THE ROLE

Fraud at Nelo is moving toward an agent-operated model. AI does most of the volume. Humans set the standard. This role is the operating layer underneath that strategy, and it owns two things end-to-end: the AI fraud investigation stack, and AML.

On the AI side, you are the person who decides what good signal looks like, curates the seed cases that train the agents, writes the instructions that tell them where to look and what to ignore, and designs the JSON schemas they read from and write into. You build the filter that sits between CX intake and the agents so we feed them signal instead of noise. When new fraud MOs emerge, you catch them and feed the agents before performance decays.

On the AML side, you own casework, SAR narratives, escalations, and the operating cadence that keeps Nelo defensible if and when a regulator walks in. This is low-frequency, high-stakes work. It cannot be a side task and we are not treating it as one.

You will work closely with CX (the source of most raw signal), Risk, Legal & Compliance, and Engineering.

WHAT YOU WILL DO

- Own the AI fraud agent stack: curate seed cases, refine instructions, design the JSON schemas, run the feedback loop that sharpens them over tim...

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