Lead Fraud Risk Data Analyst

Summary

Join Varo, a digital, mission-driven bank, as a Senior Fraud Analytics professional. You will design analytic approaches to detect and mitigate fraud risk, analyze the effectiveness of fraud policies, and build actionable insights from account and transaction data. This role involves developing data-driven rules, creating personalized segmentations, working with fraud prevention vendors, and leading investigations. You will also manage a small team of junior analysts. The position requires strong analytical and critical thinking skills within a fast-paced environment. This is a rewarding opportunity to contribute to a secure banking experience.

Requirements

• 10+ years of fraud or risk experience focused on the risk strategy and risk analytics in financial services, insurance, and healthcare industries
• 3+ years of experience in Tableau (and other BI tools)
• 2+ years of experience analyzing data with statistical approaches with python (e.g. in Jupyter notebook): for example, clustering analysis, decision trees, linear regression, logistic regression, correlation analysis
• Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts
• Knowledge of fraud management systems such as Falcon, RSM, JackHenry, Iovation, Threat metrics, Verafin, etc
• Deep understanding of the financial fraud space
• Experience creating and optimizing fraud prevention rules and strategies
• Coaching and mentoring other analysts
• Cross-functional stakeholder management, working with engineers, product, operations, and data science

Responsibilities

• Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention
• Develop data insights to help understand customers’ banking behavior and preferences
• Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, and value
• Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools
• Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods
• Find insights from risk data sets to improve fraud strategies and rules
• Participate in regular review of activities involving different fraud topologies
• Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases
• Complete investigation of customers and transactions flagged by the Bank's automated monitoring system(s), manual reports, and/or referrals
• Define, implement, and manage rule rationalization and governance process
• Manage responsibilities for 1-2 junior analysts, help with prioritization, and review work

Preferred Qualifications

• 8+ years of data analytics experience with hands-on SQL and python coding is a plus
• 1+ years of hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus
• FinTech or start-up experience is a plus

Benefits

• $140,000 - $200,000 a year
• Bonus
• Equity
• Competitive benefits