Remote Lead Fraud Data Analyst

Description:

• 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 day-to-day fraud policies and rules in fraud systems.
• The role involves analyzing large amounts of account and transaction data to develop and improve processes and models while managing the customer experience.
• This position requires fast-paced, time-sensitive turnaround and offers a rewarding opportunity to help fight deposit and lending fraud daily.
• Responsibilities include developing new data-driven rules that optimize decision-making performance between member experience and fraud prevention.
• You will work with external fraud prevention vendors to optimize their performance and assist in maintaining, designing, and implementing existing and new fraud detection tools.
• The role involves aggregating and analyzing internal and external risk datasets to understand the performance of fraud decisioning and the granular performance of multiple decision methods.
• You will find insights from risk data sets to improve fraud strategies and rules.
• Participation in regular reviews of activities involving different fraud topologies is expected.
• You will lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases.
• Completing investigations of customers and transactions flagged by the Bank's automated monitoring systems, manual reports, and/or referrals is part of the job.
• You will define, implement, and manage the rule rationalization and governance process.
• The position includes managing responsibilities for 3-4 junior analysts, helping with prioritization, and reviewing their work.

Requirements:

• A minimum of 7 years of fraud or risk experience focused on risk strategy and risk analytics is required.
• Experience working at a FinTech or start-up is a plus.
• At least 3 years of experience in SQL queries, Tableau (and other BI tools), and day-to-day use of R/Python is preferred.
• Strong knowledge of financial products, including ACH, RDC, debit cards, credit cards, lending products, and deposit accounts is necessary.
• Knowledge of fraud management systems such as Falcon, RSM, JackHenry, Iovation, Threat metrics, Verafin, etc., is required.
• A deep understanding of the financial fraud space is essential.
• Experience in creating and optimizing fraud prevention rules and strategies is necessary.
• Knowledge of a scripting programming language such as Python is required.
• Strong BI and analytics skills and knowledge of tools such as SQL/Athena for rule rationalization and governance are needed.
• The ability to coach and mentor other analysts is important.
• Cross-functional stakeholder management experience, working with engineers, product, operations, and data science, is required.

Benefits:

• The salary range for this role is $125,000 - $175,000 per year, based on function, level, and geographic location.
• Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the identified range.