Lead Fraud Risk Data Analyst

Job not on LinkedIn

November 3

🏄 California – Remote

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

🗽 New York – Remote

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

+4 more states

🏄 California – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Varo Bank

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Banking • Finance • Fintech

Varo Bank is a forward-thinking financial institution offering innovative banking solutions for a modern financial lifestyle. With no hidden fees, Varo provides easy access to money management, savings with high APY, credit-building services, and flexible cash advance options. Customers can benefit from early access to their pay, automatic cashbacks, and utilities like savings calculators and auto-savings tools. Varo's products include an online bank account, high-yield savings account, a credit-builder card, and personal line of credit. The bank emphasizes financial empowerment with transparency and customer-centric services, backed by FDIC insurance for security and peace of mind.

501 - 1000 employees

Founded 2015

🏦 Banking

💸 Finance

💳 Fintech

📋 Description

• Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention. • Develop data insights and rules to help understand customers’ banking behavior and preferences to drive first party fraud controls and strategy for payment and lending. • 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

🎯 Requirements

• 10+ years of fraud or risk experience focused on the risk strategy and risk analytics in financial services, insurance, and healthcare industries. FinTech or start-up experience is a plus. First party fraud risk management experience is a plus. • 8+ years of data analytics experience with hands-on SQL and python coding is a plus • 3+ years of experience in Tableau (and other BI tools). • 3+ 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. • 1+ years of hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus. • Strong knowledge of financial products, including fraud management in lending products, ACH, RDC, P2P, and deposit accounts. • Knowledge of fraud management systems such as Sentilink, iOvation, Lexisnexis, 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

🏖️ Benefits

• This role is also eligible for a bonus, equity, and competitive benefits.