3 часа назад
Model Risk Senior Analyst – Validation
155 471 - 165 471$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Model Risk Senior Analyst – Validation (Model Risk): Conducting independent validation of credit, liquidity, stress-testing, pricing, forecasting, and other financial models with an accent on model performance, assumptions, implementation, and regulatory compliance. Focus on building and assessing regression and time-series models, analyzing data with SQL, SAS, and Python, reviewing remediation findings, and documenting effective challenges in validation reports.
Location: New York, NY; requires in-office work four days every week
Salary: $155,471.50–$165,471.50 per year
Company
M&T Bank is a banking organization managing financial, risk, and business decision-making models.
What you will do
- Conduct independent reviews and validations of models used for capital stress testing, risk measurement, prediction, pricing, profitability, credit loss forecasting, wealth management, marketing, compliance, and management decision-making.
- Evaluate theoretical foundations, performance, monitoring, assumptions, implementation, and compliance with SR 11-07.
- Use SAS, SQL, Python, R, and Excel to extract and analyze source-system data, assess data quality, and support model validation.
- Review remediation of validation findings and confirm that appropriate controls and documentation are in place.
- Prepare validation reports and memoranda describing the work performed, effective challenges, gaps, and findings.
- Coordinate with Credit Risk, Finance, Treasury, internal and external stakeholders, auditors, regulators, and vendors while tracking validation activities.
Requirements
- Master’s degree or foreign equivalent in Mathematics, Statistics, Quantitative Finance, Economics, or a related field.
- At least five years of relevant experience in model validation, model risk management, model development, or a related occupation.
- Five years of experience validating credit or liquidity models and working with regulatory capital stress-testing requirements.
- Five years of experience evaluating model performance and fit for stress-testing use with economic-factor shocks, independent variables, and stress scenarios.
- Five years of experience building and assessing logistic regression, linear regression, and time-series models.
- Five years of experience using SQL, SAS, and Python for data extraction, analysis, parameter estimation, and model-performance assessment.
Culture & Benefits
- Full-time employment in an in-office setting four days per week.
- Regular collaboration with business lines and support functions to manage model risk.
- Responsibility for maintaining internal control standards and addressing audit and regulatory issues.
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