Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
About the role
- Data Scientist developing monitoring solutions and advanced data science models for PayPal. Collaborating with stakeholders and driving best practices in data science in a fast-paced environment.
Responsibilities
- Apply strategic and analytical skills to build monitoring solutions to combat money laundering
- Lead development and implementation of advanced data science models and algorithms
- Collaborate with stakeholders to understand requirements
- Analyze and derive insights from large volumes of data
- Implement monitoring solutions in a fast-paced environment while driving best practices in data science
Requirements
- Minimum of 5 years of relevant work experience
- Bachelor's degree or equivalent experience
- Minimum of three years of experience in the field of AML transaction monitoring
- Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports
- Thorough understanding of AML typologies and transaction monitoring processes
- Good understanding of transaction monitoring systems such as Oracle Mantas, Actimize etc.
- Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query
- Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau
- Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
- Excellent communication skills, both written and verbal
- Self-driver with the ability to work with a cross-functional team
- Ability to take initiative and execute against key projects independently
Benefits
- medical
- dental
- vision
- life and disability insurance
- parental and family leave
- 401(k) savings plan
- paid time off
- flexible work environment
- employee shares options
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.
Senior Data Scientist leveraging advanced analytical techniques to support Walmart's strategic objectives. Collaborating across functions, mentoring team members, and ensuring data governance standards.
Principal Data Scientist formulating strategies for AI/ML deployment in production at Walmart Global Tech. Leading projects involving state - of - the - art LLMs and collaborating with cross - functional teams.