Fraud & AML Analytics Strategist

Overview

Fraud & AML Analytics Strategist at Data Visor — join to apply for the Fraud & AML Analytics Strategist role at Data Visor.

If you thrive on curiosity, creativity, and staying a step ahead of fraudsters, this role is for you. You’ll bring together a deep understanding of fraud and AML patterns to craft new rules, the curiosity to test emerging data signals, and the discipline to design workflows that both protect customers and keep their experience seamlessly.

You’ll thrive here if you enjoy asking “what if?” — what if attackers shift their tactics, what if a new payment method introduces risk, what if a simpler workflow could reduce friction without losing protection. Your work will directly shape how we protect our customers across money movement, account origination, and card transactions, and you’ll have the freedom to experiment, iterate, and turn insights into impactful strategies.

• Proactively design, test, implement, and optimize rules for fraud and AML detection across origination, money movement, card, and suspicious activity monitoring.
• Manage rule libraries, ensuring governance, monitoring, and compliance alignment.
• Run experiments and pilot new approaches to detect emerging fraud and AML typologies.
• Collaborate with Data Science to translate fraud patterns and AML scenarios into model features.
• Partner with Fraud & AML Operations for case feedback and validation of coverage.
• Define and manage fraud/AML workflows (queues, alerts, escalation paths).
• Evaluate external fraud and AML data providers for enrichment opportunities.
• Provide fraud and AML insights, typology analysis, and strategy recommendations to leadership.
• Partner with Product, Engineering, and Commercial teams to embed proactive fraud and AML strategies into the platform and client dashboards.

• 2+ years in fraud or AML strategy, risk management, or analytics within financial services/fintech/merchants.
• Knowledge of payment fraud schemes, money laundering typologies, and suspicious activity monitoring is a plus but not required.
• Experience with rule engines, case management, AML monitoring systems, and workflow design is a plus but not required.
• Proficiency in SQL, Python, analytics, and dashboarding tools.
• Creative, proactive problem solver who thrives in anticipating new risks.
• Bachelor’s degree in STEM, MBA and Economics field required.

Base pay range: $80,000.00/yr - $/yr

Compensation:
Annual salary range of USD $80,000 – $130,000, commensurate with experience.

• Mid-Senior level

• Full-time

• Industries: IT Services and IT Consulting