Sr Data Scientist

PayPal•Scottsdale, AZ

About The Position

Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Prepare reports and updates to senior management regarding the above activities

Requirements

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience
Minimum of three years of experience in the field ofAML transaction monitoring, fraud detection, and AML/CFT
Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports, by leveraging data and statistical analysis techniques to derive thresholds, identify outliers and utilize statistical sampling techniques to facilitate above-the-line and below-the-line testing
Thorough understanding of AML typologies, as well as transaction monitoring processes used to mitigate these risk typologies
Good understanding of transaction monitoring systems - custom built or vendor systems such as Oracle Mantas, Actimize etc. - and the standard monitoring rules/scenarios offered
Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau
Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis
Ability to work in multiple projects simultaneously in a fast-paced and dynamic financial services environment
Experience in developing documentation that meets the highest regulatory standards and audit requirements
Ability to take initiative and execute against key projects independently
Ability to thrive in a cross-functional environment while juggling multiple responsibilities
Experience in distilling and presenting complex quantitative analysis to business users