{"schemaVersion":"jobsearcher.job.v1","id":"ac98cfdfefb2430c8489f253","url":"https://jobsearcher.com/jobs/ac98cfdfefb2430c8489f253","canonicalUrl":"https://jobsearcher.com/jobs/ac98cfdfefb2430c8489f253","title":"Quantitative Analytics & Model Consultant Senior - Data, Modeling & Analytics","description":"Quantitative Analytics & Model Consultant SeniorAt 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 work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quantitative Analytics & Model Consultant Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA; Philadelphia, PA; Cleveland, OH; Charlotte, NC; Wilmington, DE; Austin, TX; Washington, DC; or Tysons Corner, VA.\r\nSummary: As a Quantitative Analytics & Model Consultant Senior within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.\r\nJob Responsibilities:\r\nUse a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets\r\nParticipate in data set creation, analysis, reporting, model building, model monitoring and model documentation\r\nEffectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts\r\nCollaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders\r\nPreferred skills and experience:\r\nMaster's degree or higher in a quantitative field\r\nExperience in developing GenAI solutions\r\nExperience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing\r\nProficiency in statistical methods and tools, including experimental design, probability theory, and sampling\r\nExpertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms\r\nStrong programming skills in Python, PySpark, R, and/or SQL\r\nFamiliarity with big data technologies like Hadoop, Spark, Hive, Impala etc.\r\nExperience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model\r\nCritical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems\r\nAbility to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners\r\nAbility to manage multiple projects simultaneously\r\nStrong teamwork skills and ability to work across different departments\r\nAdditional preferred qualifications:\r\nMaster's degree in Statistics, Mathematics, Engineering or Econometrics\r\nExperience in banking/ financial services\r\nExperience with anti-fraud and/or anti-money laundering modeling\r\nHands-on experience building various types of AI/ML models, including neural networks\r\nExperience with cloud platforms like AWS, Google Cloud, or Azure\r\nPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.","company":"PNC","rawCompany":"pnc","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-02T01:15:00.994Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"522110","title":"Commercial Banking","slug":"commercial-banking"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantitative Analytics & Model Consultant Senior - Data, Modeling & Analytics","description":"Quantitative Analytics & Model Consultant SeniorAt 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 work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quantitative Analytics & Model Consultant Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA; Philadelphia, PA; Cleveland, OH; Charlotte, NC; Wilmington, DE; Austin, TX; Washington, DC; or Tysons Corner, VA.\r\nSummary: As a Quantitative Analytics & Model Consultant Senior within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.\r\nJob Responsibilities:\r\nUse a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets\r\nParticipate in data set creation, analysis, reporting, model building, model monitoring and model documentation\r\nEffectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts\r\nCollaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders\r\nPreferred skills and experience:\r\nMaster's degree or higher in a quantitative field\r\nExperience in developing GenAI solutions\r\nExperience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing\r\nProficiency in statistical methods and tools, including experimental design, probability theory, and sampling\r\nExpertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms\r\nStrong programming skills in Python, PySpark, R, and/or SQL\r\nFamiliarity with big data technologies like Hadoop, Spark, Hive, Impala etc.\r\nExperience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model\r\nCritical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems\r\nAbility to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners\r\nAbility to manage multiple projects simultaneously\r\nStrong teamwork skills and ability to work across different departments\r\nAdditional preferred qualifications:\r\nMaster's degree in Statistics, Mathematics, Engineering or Econometrics\r\nExperience in banking/ financial services\r\nExperience with anti-fraud and/or anti-money laundering modeling\r\nHands-on experience building various types of AI/ML models, including neural networks\r\nExperience with cloud platforms like AWS, Google Cloud, or Azure\r\nPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.","datePosted":"2026-07-02T01:15:00.994Z","dateModified":"2026-07-02T01:15:00.994Z","hiringOrganization":{"@type":"Organization","name":"PNC","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ac98cfdfefb2430c8489f253"},"url":"https://jobsearcher.com/jobs/ac98cfdfefb2430c8489f253"}}