Fraud Lead - Consumer Lending

Félix; New York (NY); Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Stock options

Annual performance bonus

401(k)

Health, dental, vision

Unlimited PTO

Paid parental leave

Learning & growth opportunities

Remote work now, future hybrid

Job summary

Félix is seeking a Fraud Lead for Consumer Lending to safeguard unit economics of the Send Now Pay Later product. You’ll architect fraud prevention across instant WhatsApp interfaces and cross-border lending, building frameworks, identifying vectors, and enforcing blocking policies.

This role reports to the Head of Credit Risk and partners with Fraud Org. The ideal candidate is autonomous, highly analytical, with experience in fraud vectors, ML risk models, and policy execution at pace.

Qualifications

• 4–5+ years in Fraud Risk Strategy and Prevention within consumer lending, BNPL, digital wallets, or credit card ecosystems.
• Advanced SQL and data manipulation skills (BigQuery, Snowflake) to analyze logs independently.
• Experience with modern decision engines and deploying ML risk models in production.
• Investigation and OSINT mindset with knowledge of fraud vectors and ATO.
• Ability to translate fraud patterns and metrics into business risks for executives and teams.

Responsibilities

• Design, launch, and refine fraud typologies for WhatsApp lending ecosystem.
• Own repayment fraud, identity spoofing, and chargeback analytics for SNPL payments.
• Drive core fraud metrics and balance risk with conversion across lending verticals.
• Own rule design and orchestration in decision engines; collaborate with Data Science for ML models.
• Design, optimize, and scale automated blocking protocols and efficient investigation workflows.
• Coordinate with Legal & Compliance on SARs and regulatory reporting.

Skills

Fraud risk strategy

BNPL experience

SQL

Python/R

Rule engine

ML/Ops

OSINT

Cross‑functional communication

Tools

Taktile

Provenir

Alloy

BigQuery

Snowflake

Job description

About Us

At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.

We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.

Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better.

About The Role

As our Fraud Lead for Consumer Lending, you will be the core architect and gatekeeper protecting the unit economics of our Send Now Pay Later (SNPL) product. This is a high-visibility, cross-functional role reporting directly to the Head of Credit Risk, with a dotted line into our broader Fraud Organization.

You will be responsible for defining, architecting, and mitigating fraudulent behaviors at the intersection of instant conversational interfaces (WhatsApp) and digital cross-border lending. We need an autonomous, highly analytical fraud specialist who can build prevention frameworks from scratch, identify sophisticated attack vectors, deploy dynamic decisioning logic, and ensure that our business growth remains secure and highly profitable.

Responsibilities

• Fraud Strategy & Architecture: Design, launch, and continuously refine first-party and third-party fraud typologies specifically tailored to our WhatsApp conversational lending ecosystem.
• Payment & Repayment Analytics: Own repayment fraud, identity spoofing, and chargeback analytics for SNPL payments, proactively identifying exploit loops, synthetic identities, and implementing preemptive transaction blocks.
• Unit Economics & Metric Ownership: Drive and hold direct accountability for core fraud metrics (e.g., net fraud rate, false positive ratios, challenge rates, chargeback-to-sales ratios) across the entire lending vertical without hindering conversion.
• Decision Engine Architecture: Own rule design and logic orchestration within modern decision engines (e.g., Taktile, Provenir, Alloy) and partner with Data Science to deploy, monitor, and calibrate Machine Learning risk models in production.
• Operational Policy Design: Partner closely with Operations and Engineering teams to design, optimize, and scale automated blocking protocols alongside efficient manual investigation workflows.
• Regulatory & Compliance Liaison: Coordinate with Legal & Compliance to monitor, flag, and report Suspicious Activity Reports (SARs), loan abuse patterns, and system exploitation in alignment with regulatory standards.

Requirements

• Fintech & Lending Core: 4–5+ years of hands‑on experience in Fraud Risk Strategy and Prevention, explicitly within consumer lending, Buy Now Pay Later (BNPL), digital wallets, or credit card ecosystems.
• Data Analytics Mastery: Advanced skills in SQL (BigQuery, Snowflake, etc.) and data manipulation (Python/R or BI visualization tools) to extract, analyze, and model transactional logs independently with total autonomy.
• Rule Engine & MLOps Exposure: Proven experience working with modern decision engines (such as Taktile, Provenir, Alloy, or similar) and deploying/monitoring machine learning risk models in live environments.
• Investigative & OSINT Mindset: Deep understanding of emerging fraud attack vectors, account takeover (ATO), and synthetic fraud, with a track record of using data and OSINT techniques for threat detection.
• Exceptional Cross‑Functional Communication: Strong ability to translate complex fraud patterns and technical metrics into actionable business risks for C‑suite executives, product managers, and engineering teams.
• Extreme Ownership: A true builder mentality with an experimental spirit, capable of moving from high‑level data insights down to policy execution with speed, precision, and zero hand‑holding.
• These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

What We Offer

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• 401(k)
• Work model: currently fully remote, with a future transition to a hybrid set up
• Health, dental, and vision plans
• 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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