Senior Fraud Advisor

Job not on LinkedIn

🕒 July 20

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Outseer

201 - 500 employees

💳 Fintech

🔒 Cybersecurity

☁️ SaaS

Fintech • Cybersecurity • SaaS

Outseer is a transactional risk management and fraud prevention company that provides a suite of AI- and machine learning-powered products (including a risk engine, behavioral biometrics, 3‑D Secure, Fraud Manager, and FraudAction) and a consortium data network to detect and stop payment fraud, scams, phishing, mule accounts, and other financial threats. Its platform and services are delivered to banks, card issuers, payment processors, and other financial institutions to reduce fraud while preserving customer experience.

📋 Description

• Utilize an advanced data analytics background to perform in-depth data analysis, identify complex fraud patterns, and provide expert guidance on rule enhancements for customers. • Lead end-to-end execution of consulting engagements by evaluating customers' utilization of Outseer systems, conducting comprehensive data analysis, and delivering expert guidance. • Facilitate and lead regular customer-facing meetings, addressing inquiries, and assisting customers in achieving their fraud detection goals. • Generate comprehensive monthly, quarterly, and annual reports on customers' system usage, rule performance, and actionable recommendations for enhancing future performance. • Perform intricate analysis of customer data using advanced methodologies to investigate specific customer requests, identify system performance findings, and make informed decisions regarding risk sensors. • Collaborate with other teams and team members to deliver comprehensive solutions and exceptional service to customers.

🎯 Requirements

• Bachelor’s degree in a technical discipline (Engineering, Computer Science, Information Systems/Science, Mathematics, Statistics/Data Science, etc.) or equivalent experience in technical consulting roles. • 8+ years’ experience in hands-on data analysis on big data and statistical models. • 6+ years of demonstrated success in customer-facing engagements/activities. • Advanced analytical consulting skills, backed by a strong data analytics background. • Proven expertise in fraud analysis, data analytics, or a similar role, preferably in the financial industry or fraud prevention field. • Excellent communication and presentation skills, with the ability to effectively communicate complex information to both technical and non-technical audiences. • Demonstrated track record of successfully leading customer engagements and building strong customer relationships. • Customer-centric mindset with a passion for delivering exceptional service and driving customer success. • Proactive problem-solving abilities and attention to detail. • Ability to work collaboratively in a dynamic team environment and manage multiple priorities effectively. • Willing to travel up to 25%

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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