Senior Fraud & AML Strategy Analyst

Job not on LinkedIn

August 21

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚨 AML and Financial Crime

🦅 H1B Visa Sponsor

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DataVisor

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Finance • Fintech • SaaS

DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.

51 - 200 employees

💸 Finance

💳 Fintech

☁️ SaaS

💰 Series C on 2019-10

📋 Description

• DataVisor is an AI-powered Fraud and AML platform used by Fortune 500 companies worldwide. • Open SaaS platform supports easy consolidation and enrichment of data for real-time fraud/AML detection. • Patented unsupervised machine learning technology, device intelligence, and a powerful decision engine. • DataVisor's culture: open, positive, collaborative, and results-driven. • Position Overview: You’ll bring deep understanding of fraud and AML patterns to craft new rules, test signals, and design workflows. • You’ll test and iterate what-if scenarios to stay ahead of attackers; protect customers across money movement, origination, and card transactions. • You’ll have freedom to experiment, iterate, and turn insights into impactful strategies. • Key Responsibilities: 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.

🎯 Requirements

• 5+ years in fraud or AML strategy, risk management, or analytics within financial services/fintech/merchants. • Strong knowledge of payment fraud schemes, money laundering typologies, and suspicious activity monitoring. • Experience with rule engines, case management, AML monitoring systems, and workflow design. • Proficiency in SQL, analytics, and dashboarding tools. • Creative, proactive problem solver who thrives in anticipating new risks. • Bachelor’s degree in STEM and Economics field required.

🏖️ Benefits

• PTO • Stock Option • Health Benefits