Lead Fraud Risk Data Analyst - Varo Money

Job Title: Lead Fraud Risk Data Analyst
Job Location: US Remote
Job Listing URL: https://jobs.lever.co/varomoney/fb4d10eb-6e7b-4555-8f4e-48f1e99515a2
Job Description: Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.

This senior role of fraud analytics is responsible for designing unique analytic approaches to detect, assess, and mitigate fraud risk. You will help analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. You will analyze large amounts of account and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement. This role requires critical thinking and analytical savviness to work in a fast-paced environment but can be a rewarding opportunity to help bring a secured banking experience.
What you'll be doing
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
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. FinTech or start-up 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).
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.
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 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