Fraud Specialist

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albo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💳 Fintech

🏦 Banking

Fintech • Banking

albo is a FinTech company based in Mexico that offers comprehensive financial solutions, including personal and business debit accounts, credit services, and access to cryptocurrencies. Their services are designed for both individuals and businesses, providing ease of managing finances through their mobile app without costs or commissions. Additionally, albo provides credit options for personal and business needs, integration with cryptocurrency trading, and various features to maintain financial control and security. As a regulated institution by the Mexican National Banking and Securities Commission, albo focuses on delivering secure and efficient financial services to over 2 million users.

📋 Description

• Execute deep exploratory and forensic analysis on complex, unstructured fraud incidents that fall outside the scope of our automated AI agents due to a lack of structured data. • Analyze vast sets of historical data using BigQuery to discover, validate, and propose new predictive variables (features). You will provide the critical insights needed for our ML & AI Engineers to incorporate these features into AI agents and the overarching rules engine. • Lead high-priority, critical analysis projects defined in our strategic roadmap. This includes characterizing suspicious user communities, mapping AML (Anti-Money Laundering) networks, and structuring the methodological distinction between credit default (mora) and actual fraud. • Design and develop prototypes for statistical models and analytical scripts (e.g., graph and connection analysis for money laundering detection) to validate logic before the AI Engineering team automates them in production.

🎯 Requirements

• Bachelor degree in Accounting or Finance (Degrees in Data Science, Actuarial Science, or Mathematics are also highly valued). • Advanced SQL & BigQuery Skills: Strong proficiency in generating complex queries for data extraction, manipulation, and analysis within BigQuery. • Data Prototyping & Statistical Knowledge: Experience prototyping statistical models and using scripting languages (such as Python or R) for exploratory data analysis, graph analysis, and feature validation. • Fraud Domain Expertise: Deep understanding of fintech fraud typologies (ATO, onboarding fraud, synthetic identities) and the ability to translate suspicious payment patterns into technical rules. • Analytical Problem-Solving: A highly analytical mindset with the ability to bring structure to unstructured data, specifically when investigating complex anomalies or evaluating the rentability vs. risk of new financial products. • Cross-functional Collaboration: Excellent communication skills to effectively translate forensic findings into actionable technical requirements for Data Scientists, ML Engineers, and operational teams. • Customer Centricity: You're customer-obsessed, constantly thinking about improving the customer experience. • Hands-on: We’re looking for a comfortable and willing leader to be a hands-on contributor who is energized by rolling up their sleeves, making things happen, and enabling the team to do the same. • Done is better than perfect: As things change and move quickly, you are excited by the fast pace and opportunity to constantly learn and help your team learn. • Communication: Excellent ability to communicate internally and externally, quickly build relationships, and work cross-functionally. • Extreme ownership: You hold yourself accountable to a high bar. You are supremely organized and see what needs to happen to achieve goals. • Results & Data Driven: You understand the business metrics you are responsible for, and you demonstrate these insights to drive constant improvement.