Fraud Analyst

Job Title :

Company Name:

About The Client:

About The Job:

Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.
Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization

Essential Job Functions:

• Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk.
• Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems.
• Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.
• Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization
• Develop new data driven rules with data attributes and ML scores 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 behavioral, 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 root-cause analysis to form the correct hypothesis in preparing for fraud detection framework
• Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases

Qualifications:

• Skill required: Delivery - Fraud Data & Analytics
• Education:Any Graduation
• Years of Experience:3 to 10 years
• Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts
• Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more.
• An expert in SQL, Tableau, preferred to have Python based data analytics experience
• Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more
• Fraud analytics: 5+ years
• Data and ML analytics: 3+ years
• Reporting analytics, e.g. tableau: 5 + years

How to Apply:

Equal Opportunity Employer:

Unlock Rewards: Refer Candidates and Earn.