Lead Fraud Risk Data Analyst

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Base pay range

$/yr - $/yr

About Varo

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live our lives. A bank for all of us.

What you'll be doing

• 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

You’ll bring the following required skills and experiences

• 10+ years of fraud or risk experience focused on the risk strategy and risk analytics in financial services, insurance, and healthcare industries. Fin Tech 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): clustering analysis, decision trees, linear regression, logistic regression, correlation analysis
• 1+ years of hands‑on use of AWS (e.g., S3, EC2, EMR, Athena, Sage Maker 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

We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!

Varo is an equal‑opportunity employer

Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Beware of fraudulent job postings!

Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail  with the pertinent information and contact information.

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AI tools in hiring

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job details

• Seniority level:
  Not Applicable
• Employment type:
  
  Full‑time
• Job function:
  Information Technology
• Industries:
  Banking

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