Fraud Strategy Specialist

Félix; Brasil; Híbrido; BRL 310 719 - 466 079; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Initial stock options grant

Annual performance bonus

Health, dental, and vision plans

Unlimited PTO

Resumo da oferta

Félix is seeking a strategic Fraud Strategy Specialist to bridge data insights with business actions, enhancing fraud prevention strategies. The candidate must have expertise in fraud and data analysis, working closely across teams to address complex challenges.

This role plays a crucial part in safeguarding millions of Latinos in the U.S. while ensuring an optimal customer experience. The company offers competitive salaries, stock options, and a remote work environment with hybrid options in Miami or Mexico City.

Qualificações

• 3-5 years of experience in data-related roles.
• 2+ years in Risk, Fraud investigations.
• Strong analytical skills for complex data interpretation.

Responsabilidades

• Lead design of Fraud Visibility systems.
• Develop a robust Anomaly Detection system.
• Refine fraud strategy for operational efficiency.

Conhecimentos

Advanced SQL

Python

Fraud schemes knowledge

Statistical analysis

BI tools expertise

Communication skills

Formação académica

Bachelor's degree in Mathematics, Economics, Computer Science, Statistics, or related field

Ferramentas

BI tools (Looker, Tableau)

Descrição da oferta de emprego

Company Overview

At Félix, we are building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing users to send money home as easily as sending a text message. We leverage cutting‑edge technology like AI, blockchain, and stablecoins to make cross‑border payments faster, more affordable, and more accessible than ever before.

About The Role

We are looking for a strategic Fraud Strategy Specialist who can bridge the gap between data insights and business action. This role goes beyond analysis—you'll be responsible for shaping our fraud prevention strategy, influencing stakeholders across the organization, and driving initiatives that protect our customers while enabling growth.

The ideal candidate combines deep fraud domain expertise with strong analytical capabilities and strategic thinking. You'll work at the intersection of Data Science, Product, Operations, Risk, and Senior Management to define problems, prioritize solutions, and lead cross‑functional initiatives that strengthen our fraud defenses. This role is critical to protecting millions of Latinos in the United States while ensuring a seamless customer experience.

Responsibilities

• Lead the design and deployment of the Fraud Visibility & Intelligence foundation, establishing a single source of truth for fraud strategy and performance.
• Develop and own a robust, real‑time Anomaly Detection system, utilizing granular transaction grouping to identify emerging fraud pattern shifts.
• Establish key performance indicators and operational dashboards (e.g., False Positive Rate, Prevention Rate, strategy performance) to continuously assess effectiveness of the overall fraud strategy and decisioning models.
• Strategically refine and manage the fraud strategy, focusing on enhancing operational efficiency, minimizing redundancy, and architecting migration of sophisticated decision logic to a centralized orchestration platform to ensure speed, resilience, and enterprise‑wide scalability.
• Partner with Data Science teams to provide domain expertise, feature engineering, and performance feedback for ML‑driven fraud models.
• Apply risk management principles to balance fraud prevention with customer experience, designing iterative tests to validate solution effectiveness.
• Collaborate with Data Science, Product, Operations, and Investigations teams to frame fraud problems in ways that mobilize organizational action.

Requirements

• Bachelor's degree in Mathematics, Economics, Computer Science, Statistics, Data Science, or related field.
• 3‑5 years of professional experience in data‑related roles (Data Analyst, Data Scientist, Business Analytics, or similar).
• 2+ years of work experience in Risk, Fraud investigations, trust & safety.
• Advanced SQL and Python skills with demonstrated ability to work with large datasets and perform complex data analysis.
• Deep knowledge of fraud schemes, money laundering flows, organized fraud operations, and payment systems (cards, ACH, wire transfers, settlement timing).
• Understanding of machine learning model concepts and their application to fraud detection.
• Strong statistical foundation including hypothesis testing, regression, and classification algorithms.
• Experience with BI tools such as Looker, Tableau, or similar for dashboard and visualization design.
• Proven track record of leading cross‑functional projects and building stakeholder consensus.
• Strong analytical skills with ability to collect, organize, analyze, and disseminate significant amounts of information to draw meaningful insights from complex data sets with attention to detail and accuracy.
• Strong communication skills with ability to present to both technical and non‑technical audiences.
• Strategic thinking and creative problem‑solving abilities with intellectual curiosity about emerging threats.
• Advanced English level.
• Curious and love to go deep into the data to find fraudsters.
• Equivalent competencies are also considered.

What We Offer

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• Health, dental, and vision plans
• Remote work environment, with hybrid options at Miami or Mexico City offices
• Continuous learning opportunities
• Unlimited PTO
• Paid parental leave
• Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer

At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

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