Senior Statistical Data 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 our customers to achieve their financial goals.

What you’ll be doing

• Develop data wrangling pipelines, queries, methods enabling customer insights analysis.
• Develop data insights to help understand customers’ banking behavior and preferences.
• Aggregate and analyze internal and external risk datasets to understand performance of fraud risk at customer level.
• Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, 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.

Skills and experiences

• 5+ years of data analytics experience with hands-on SQL and python coding. (Academic experience counts).
• 2+ years of experience analyzing data with statistical approaches with python (e.g. in Jupyter notebook): for example, clustering analysis, decision trees, linear regression, logistic regression, correlation analysis. (Academic experience counts).
• 2+ years of experience with Tableau (and other BI tools). (Academic experience counts).
• 1+ years of hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus. (Academic experience counts).
• Experience in risk based customer analytics is a plus.
• Experience working at a FinTech or start-up is a plus.
• Strong knowledge of financial products, including ACH, RDC, debit card credit cards, lending products, and deposit accounts is a plus.
• Experience working in the fraud detection and prevention domain is a plus