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Sr. Fraud Data Analyst

Remote:

Full Remote

Contract:

Full time

Salary:

10 - 10K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years of fraud or risk experience, 3+ years in SQL, Tableau, R/Python, Strong knowledge of financial products, Experience with fraud management systems, Deep understanding of financial fraud space.

Key responsabilities:

Develop data-driven rules for fraud prevention
Optimize performance of fraud detection tools
Analyze internal and external risk datasets
Lead investigations into fraud and risks
Manage rule rationalization and governance process

Varo Bank Banking Scaleup https://www.varomoney.com/

501 - 1000 Employees

See more Varo Bank offers

Job description

The Senior 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

You'll bring the following required skills and experiences

5+ 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