Job Responsibilities:* Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets* Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation* Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts* Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholdersPreferred skills and experience:* Master's degree or higher in a quantitative field* Experience in developing GenAI solutions* Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing* Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling* Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms* Strong programming skills in Python, PySpark, R, and/or SQL* Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc.* Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model* Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems* Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners* Ability to manage multiple projects simultaneously* Strong teamwork skills and ability to work across different departmentsAdditional preferred qualifications:* Master's degree in Statistics, Mathematics, Engineering or Econometrics* Experience in banking/ financial services* Experience with anti-fraud and/or anti-money laundering modeling* Hands-on experience building various types of AI/ML models, including neural networks* Experience with cloud platforms like AWS, Google Cloud, or AzurePNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree.