Fraud and Risk Analyst

The Senior Statistical Data Analyst is responsible for designing unique analytic approaches to detect, assess, and recommend the optimal customer treatment to reduce frictions and enhance experience while properly managing fraud risk with data driven and statistical methods. You will analyze large amounts of account and transaction data to build customer level insights to derive the recommendations and methods to reduce friction and enhance experience on fund availability, transaction / fund hold time and more, and models while managing the customer

experience. 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 great banking experience and empower the customers to achieve their financial goals.

Responsibilities :

• Analyze large amounts of data / transactions to derive business insights and create innovative solutions / models / strategies.
• Aggregate and analyze internal and external risk datasets to understand performance of fraud risk at customer level.
• Analyze customer's banking / transaction behaviors and be able to build predictive models (simple ones like logistic regression, linear regression) to predict churns or negative outcomes or running correlation analysis to understand the correlation.
• Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value.
• Conduct analysis for data driven recommendations with reporting dashboard to optimize customer treatment regarding friction reduction and fund availability across the entire banking journey.

Skillset :