Model Validator Job at Raymond James (Saint Petersburg)

Job Description

This entry-level position supports the Model Risk Management team in the independent validation of a variety of RJ models, including market risk, Pricing, asset management, capital markets (Fixed income and equity) and ALM 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).

Job Responsibility

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, annual model review 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 independent model review tasks

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
Knowledge of statistical concepts, stochastic calculus, Market risk, Derivative pricing and financial analysis
Knowledge of AI/ML models (including GenAI, Deep Learning, etc)
Knowledge of the role of models in financial services industry
Knowledge of financial models in the area of market risk, Counter party credit risk, Derivative and Pricing, capital markets and Asset Liability models
Experience in VaR, Counterparty credit risk, Equity and Fixed income asset classes
Knowledge of 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
Skill in clear written and verbal communication, especially in organizing findings and writing summaries
Skill in analytical thinking, attention to detail, and structured problem-solving
Skill in 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
Ability to learn regulatory expectations and apply them to model validation work
Ability to collaborate with cross-functional teams in model risk and other risk related business unit model stakeholders
Ability to follow structured validation procedures and meet project deadlines
Ability to document findings in a clear, professional language
Ability to grow in the role and take on increased responsibility over time

Nice to have

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

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Model Validator

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