Model Risk Analyst – Validation (Financial Risk Models)

Location: Buffalo, New York, United States; in-office work required four days every week

Salary: $119,766 per year

Company

M&T Bank is a banking organization focused on financial services and risk management.

What you will do

• Perform independent validation of complex financial statistical models, primarily Treasury, Fair Lending, and Credit Risk models.
• Prepare quality validation reports and management reporting on model performance.
• Lead Effective Challenge presentations and communicate validation results to model owners, developers, and stakeholders.
• Review model controls, documentation, qualitative factors, third-party validation results, and model life-cycle materials.
• Develop validation playbooks, repeatable analytical procedures, and ad hoc processes that improve efficiency.
• Mine, query, transform, and preprocess data to conduct validation analyses and produce written summaries.

Requirements

• Master’s degree or foreign equivalent in Financial Mathematics, Mathematics, Statistics, Computer Science, Operations Research, Econometrics, or a related technical field, plus three years of relevant experience; alternatively, a bachelor’s degree plus six years of relevant experience.
• At least three years of experience with statistical modeling techniques, including regression, machine learning, and cluster analysis.
• At least three years of experience programming in Python or SAS and writing reproducible code.
• Experience with supervised and unsupervised algorithms, statistical theory, model performance evaluation, data wrangling, automation, and analytical reporting.
• Experience using SQL and other query languages, data mining, and feature engineering for quantitative risk modeling.
• Must work in the Buffalo office four days per week.

Culture & Benefits

• Work within established company and regulatory compliance and operational risk controls.
• Maintain internal control standards and address internal and external audit findings and regulatory issues.
• Collaborate with model owners, model developers, business stakeholders, third-party validators, management, and regulators.