Fraud/AML Senior Data Scientist - Model Owner

PNC Financial Services8 months ago
Pittsburgh, PA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Job Overview

Are you a highly skilled Data Scientist with experience in fraud and anti-money laundering (AML) detection? Do you thrive in a fast-paced environment and have a passion for using data to make critical business decisions? PNC Financial Services is seeking a Senior Data Scientist to serve as the Model Owner for our Fraud/AML detection models. In this role, you will lead the development, implementation, and maintenance of these models, ensuring their accuracy and effectiveness in identifying potential fraudulent activity. The ideal candidate will have a strong background in data analysis, machine learning, and fraud/AML detection, as well as excellent communication and leadership skills. Join our team and make a significant impact in the fight against financial fraud.

Your Responsibilities

  • Develop and maintain highly accurate and effective fraud and AML detection models.
  • Serve as the primary point of contact and expert for all fraud/AML detection models.
  • Lead the development and implementation of new fraud/AML detection models.
  • Continuously monitor and evaluate the performance of existing models, making necessary updates and improvements.
  • Collaborate with cross-functional teams to ensure the integration and utilization of fraud/AML detection models across the organization.
  • Stay up-to-date on industry trends, best practices, and regulatory requirements related to fraud and AML detection.
  • Communicate complex technical concepts and model results to non-technical stakeholders.
  • Provide leadership and guidance to junior data scientists and analysts on the team.
  • Identify opportunities to enhance and optimize model performance through the use of advanced data analysis techniques.
  • Partner with business leaders to understand their needs and identify opportunities for the development of new fraud/AML detection models.
  • Ensure the security and confidentiality of all data used in the development and maintenance of fraud/AML detection models.
  • Collaborate with internal audit and compliance teams to ensure all models meet regulatory requirements.
  • Participate in and lead meetings and presentations related to fraud/AML detection models.
  • Contribute to the overall data strategy and vision of the organization.
  • Monitor and report on model performance and identify areas for improvement.

Diversity and Inclusion

PNC Financial Services is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Required Skills

Anti-money laundering (AML)
Communication
Fraud detection
Leadership
Machine learning
Model development
Performance monitoring
Cross-functional collaboration
Advanced data analysis techniques
Data analysis