AI-powered fraud detection platform for enterprises
DataVisor builds an AI-driven fraud and risk management platform using machine learning to detect and prevent fraud attacks in real time. It serves financial institutions, fintechs, ecommerce, and payments companies with solutions for account takeovers, payment fraud, and AML compliance. The platform processes billions of events with low latency to enable proactive defense against evolving threats.
Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.
Provide technical product support for a fraud prevention SaaS platform, triaging tickets, monitoring system health, and collaborating with engineering on escalations. Requires 3+ years SaaS support experience and a technical bachelor's degree.
Senior Strategic Financial Analyst building SaaS financial planning infrastructure and serving as GTM finance partner. Requires 5+ years in FP&A/Strategic Finance, Salesforce expertise, and advanced Excel modeling skills.
Leads technical client engagements for fraud and AML solutions, including data analysis, platform configuration, ML model optimization, and strategy development to enhance risk detection and business outcomes. Requires 4+ years in fraud/AML and advanced SQL skills.
Manages and grows strategic enterprise accounts up to $10M ARR, driving upsells, renewals, and customer success in fraud/risk SaaS solutions. Requires 6+ years SaaS account management experience and financial services knowledge.
Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.
Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.
Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.
Leads product marketing for fraud and AML platform, owning strategy, messaging, launches, and commercial enablement. Partners with Product, Sales, and Customer Success; requires 10+ years B2B SaaS experience and bachelor's degree.
Senior Sales Engineer acts as technical expert during sales, leading discovery, demos, and integrations for fraud/AML platform targeting banks, fintechs, and e-commerce. Requires 7+ years in sales engineering focused on fraud/compliance.
Leads Platform Engineering team building scalable AI-based fraud detection platform with real-time decisioning. Manages engineers, architects systems using big data tech like Spark/Flink, requires 3+ years management and 8+ years development experience.