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An established industry player is seeking a Quantitative Analytics & Model Development Manager to lead innovative projects in Anti-Money Laundering Analytics. This role will involve utilizing advanced statistical techniques and machine learning algorithms to develop models that detect and prevent concerning patterns of account activity. You will collaborate with key stakeholders and manage a team of analysts, ensuring the delivery of high-quality insights. Join a forward-thinking company that values inclusivity and offers comprehensive benefits, while making a significant impact in the financial services sector.
Join to apply for the Quantitative Analytics & Model Development Manager Senior - Balance Sheet Analytics & Modeling role at PNC Investments
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We foster an inclusive workplace culture where all employees feel respected, valued, and have opportunities to contribute to the company's success. As a Quantitative Analytics & Model Development Manager Senior within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, New York City, Wilmington, DE, Tysons, VA, Charlotte, NC, Dallas, or Houston, TX. This position is primarily located in a PNC location, requiring regular time in the office or field, with some responsibilities potentially performed remotely at the manager's discretion.
As a part of PNC's Anti-Money Laundering Analytics & Modeling team, you will utilize statistical techniques to build models for detecting, monitoring, and preventing concerning patterns of account activity. You will collaborate with key stakeholders across the bank to identify patterns and risk indicators, develop new strategies, and improve existing ones. The role involves leading innovative projects that may be patentable, using techniques such as logistic regression, clustering, gradient boosting, neural networks, and other machine learning algorithms.
Preferred qualifications include a Master’s or PhD in Statistics or Econometrics, experience with data mining and preparation for ML models, proficiency in statistical methods and tools, expertise in building and optimizing machine learning systems, strong programming skills in Python, R, SAS, SQL, familiarity with big data technologies, and experience working with model risk governance and validation.
Additional qualifications include experience in banking or financial services, anti-fraud or anti-money laundering modeling, building AI/ML models, and cloud platform experience.
This role requires managing multiple projects, demonstrating leadership, and aligning with PNC’s values of customer focus, risk management, and inclusive leadership. The salary range is $104,000 to $217,100, with incentive eligibility based on performance. PNC offers comprehensive benefits, including health coverage, retirement plans, paid time off, and accommodations for applicants with disabilities.