**Job Summary:** This entry-level position supports the Model Risk Management team in the independent validation of a variety of RJ models, including market risk, credit risk, asset management, capital markets and BSA/AML models. The role involves assisting with model documentation reviews, data validation, testing, and reporting, in accordance with regulatory guidance (e.g., SR 11-7 and OCC 2011/12). This is a great opportunity for someone looking to launch and enhance a career in financial risk, model risk, model analytics, or compliance analytics areas. The ideal candidate is detail-oriented, eager to learn, and interested in the financial and non-financial risk analytics, as well as intersection of data and financial regulation. ** Will not be able to provide visa sponsorship. **Essential Duties and Responsibilities:** + Assist in developing model validation plans for our model inventories. + Support reviews of model documentation, including model policies/procedures, model inputs, assumptions, model logic/calculations, model outputs, and model performance related metrics/thresholds, etc + Support reviews in model related data inputs/outputs + Assist with data testing, including completeness checks, threshold validation, and model logic testing. + Help prepare validation reports and supporting documentation. + Monitor changes in model risk related regulations and internal model risk policies/procedures/manual. + Maintain organized tracking of validation findings, issues, and remediations. + Work closely with senior validators, model developers, and other stakeholders to support model validation activities. + Help and support model ongoing monitoring, annual review and other model independent review tasks. **Knowledge, Skills, and Abilities:** Knowledge of: + Statistical concepts, financial analysis and data validation principles. + The role of models in financial services industry + Financial and non-financial models in the area of market risk, credit risk, asset management, capital markets and BSA/AML models . + Model Risk Management regulatory guidance such as SR 11-7 and OCC 2011/12 (preferred, not required). Skill in: + Microsoft Excel and Word for documentation, data analysis, and reporting. + Clear written and verbal communication, especially in organizing findings and writing summaries. + Analytical thinking, attention to detail, and structured problem-solving. + Using or learning basic tools such as SQL, R, or Python for data validation and analysis. Ability to: + Understand how financial and non-financial models operate and produce outputs. + Learn regulatory expectations and apply them to model validation work. + Collaborate with cross-functional teams in model risk and other risk related business unit model stakeholders. + Follow structured validation procedures and meet project deadlines. + Document findings in a clear, professional language. + Grow in the role and take on increased responsibility over time. **Educational/Previous Experience Requirements:** + Bachelor’s degree in Finance, Economics, Mathematics, Data Science, Computer Science, or a related field. + 1-5 years of professional experience in risk management, model risk, data analytics, audit, or related field. + Internship, academic project, or work experience related to financial or non-financial risk fields, model risk, financial data analysis, or compliance is a plus. + Interest in professional development, including certifications such as CFA, FRM, CAMS is encouraged.