VP Model Risk Manager

Broadgate; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

An established industry player is seeking a skilled individual to join their Model Risk team at an International Bank. This role offers an exciting opportunity to engage in independent testing and validation of models, ensuring compliance and accuracy in risk management. The ideal candidate will bring 5-7 years of banking experience, particularly in transaction monitoring and modeling. With a focus on utilizing statistical methods and advanced technologies like AI and ML, you'll contribute to the development and implementation of the Bank's Model Risk Management Program. This is a fantastic opportunity to make a significant impact in a dynamic environment.

Qualifications

• 5-7 years in banking risk management, focusing on compliance.
• Proficient in SAS, Python, and R; exposure to AI and ML preferred.

Responsibilities

• Test and document validation results, analyzing statistical data.
• Manage findings resolution and recommend action plans.
• Assist in developing the Bank's Model Risk Management Program.

Skills

Risk Management

Transaction Monitoring

Model Validation

SAS

Python

R

Artificial Intelligence

Machine Learning

Education

Bachelor's degree in Economics

MBA or related field

Advanced degree

Job description

1 week ago Be among the first 25 applicants

This range is provided by Broadgate. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

Direct message the job poster from Broadgate

Risk, Compliance & Finance Headhunter || Ex-Military Careers Ambassadaor

Broadgate is excited to partner with a Model Risk team at an International Bank, expanding their function. This role can be based in New York, Dallas, or Tempe.

Key Accountabilities

1. Independent testing and documenting validation results, including analyzing and interpreting statistical data, assessing model conceptual soundness, evaluating data and assumptions, testing model computational accuracy, and performing outcomes analysis.
2. Managing the resolution of findings, recommending management action plans, and tracking remediation progress.
3. Assisting in the development, maintenance, and implementation of the Bank's Model Risk Management Program utilizing statistical methods.
4. Consulting with model users on designing effective model operational controls.

Qualifications

1. 5-7 years of experience in the banking industry in risk management related to transaction monitoring and modeling in Compliance (OFAC, BSA/AML) or Fraud spaces.
2. Proficiency in SAS, Python, and R preferred.
3. Academic or industry experience with exposure to Artificial Intelligence (AI) and Machine Learning (ML) preferred.
4. Bachelor's degree in Economics, Finance, Business (MBA), Financial Engineering, Mathematics, Statistics, or a related field (or foreign equivalent degree).
5. Advanced degree preferred.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance

Industries

Banking

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