Fraud/AML Senior Data Scientist - Model Owner
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.
- 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.
Advanced Degree In Data Science Or Related Field: A Fraud/Aml Senior Data Scientist - Model Owner Should Possess A Master's Or Phd Degree In Data Science, Statistics, Mathematics, Or A Related Field. This Level Of Education Demonstrates A Strong Foundation In Analytical Principles And Techniques.
Extensive Experience In Fraud And Aml Data Analysis: The Ideal Candidate Should Have A Minimum Of 5 Years Of Experience In Fraud And Aml Data Analysis, Preferably In The Financial Services Industry. They Should Be Well-Versed In Data Mining, Data Modeling, And Predictive Analytics Techniques.
Proficiency In Programming Languages And Tools: A Successful Fraud/Aml Senior Data Scientist - Model Owner Should Have A Deep Understanding Of Programming Languages Such As Python, R, And Sql. They Should Also Have Experience With Data Visualization Tools, Such As Tableau, And Machine Learning Platforms, Such As Tensorflow.
Knowledge Of Regulatory Requirements: In Addition To Strong Technical Skills, The Candidate Should Also Have A Solid Understanding Of Regulatory Requirements Related To Fraud And Aml, Such As The Bank Secrecy Act (Bsa) And The Usa Patriot Act. This Knowledge Is Crucial In Developing Effective Models And Ensuring Compliance With Regulatory Guidelines.
Leadership And Project Management Skills: As A Senior Data Scientist, The Candidate Should Have The Ability To Lead And Mentor A Team Of Data Scientists And Analysts. They Should Also Possess Excellent Project Management Skills, As They Will Be Responsible For Overseeing The Development And Implementation Of Fraud And Aml Models. Strong Communication And Collaboration Skills Are Also Essential, As They Will Be Working With Various Stakeholders, Including Compliance, Risk Management, And It Teams.
Data Analysis
statistical analysis
Machine Learning
Data Mining
Predictive modeling
Risk assessment
Fraud prevention
Model development
Fraud detection
Financial Crimes
Aml Regulations
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Fraud/AML Senior Data Scientist - Model Owner in Pittsburgh, PA, USA is $90,000-$140,000 per year. This may vary depending on the individual's level of experience, education, and the specific company they are employed by. Additionally, factors such as job performance, bonuses, and benefits can also impact the overall salary for this role.
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PNC Financial Services Group, Inc. is an American bank holding company and financial services corporation based in Pittsburgh, Pennsylvania. Its banking subsidiary, PNC Bank, operates in 19 states and the District of Columbia with 2,459 branches and 9,051 ATMs.
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