Lead Fraud Data Analyst
2024-09-03
USA
Varo Money
The Lead Fraud Data Analyst 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 develop and improve processes, and models while managing the customer experience. This role requires fast-paced, and time-sensitive turnaround, but can be a rewarding opportunity to help fight deposit and lending fraud daily.
What you'll be doing
Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention
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 3-4 junior analysts, help with prioritization, and review work
You'll bring the following required skills and experiences
7+ years of fraud or risk experience focused on the risk strategy and risk analytics
Experience working at a FinTech or start-up is a plus
3+ years of experience in SQL queries, Tableau (and other BI tools), and day-to-day use of R/Python is a plus
Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, 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
Knowledge of a scripting programming language such as Python
Strong BI and analytics skills and knowledge of tools such as SQL/Athena Rule rationalization and governance
Coaching and mentoring other analysts
Cross-functional stakeholder management, working with engineers, product, operations, and data science
#MidSenior
What you'll be doing
Develop new data driven rules that optimize decisioning performance between member experience and fraud prevention
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 3-4 junior analysts, help with prioritization, and review work
You'll bring the following required skills and experiences
7+ years of fraud or risk experience focused on the risk strategy and risk analytics
Experience working at a FinTech or start-up is a plus
3+ years of experience in SQL queries, Tableau (and other BI tools), and day-to-day use of R/Python is a plus
Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, 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
Knowledge of a scripting programming language such as Python
Strong BI and analytics skills and knowledge of tools such as SQL/Athena Rule rationalization and governance
Coaching and mentoring other analysts
Cross-functional stakeholder management, working with engineers, product, operations, and data science
#MidSenior