Compliance Model Review Analyst
Remote, USA, United States
Perform compliance risk driven reviews in support of the creation and maintenance of statistical models, including Regression, machine learning, AI or Third-Party models. Support the Compliance Risk Management department in partnering with subject matter experts such as Privacy and Fair Lending to ensure models are free from bias and adhere to data minimization principles amongst other factors. Develop and integrate model strategy to support business initiatives and regulatory compliance.
Primary Responsibilities:
- Manage the independent review and validation of more complex models used in the organization, focused on assessing risk and validating specific categories of models across the Bank.
- Lead in establishing, monitoring, evaluating, and interpreting data with a risk management focus and an understanding of business strategy.
- Shared responsibility for the strategic planning in the continued build out of the function and evaluation of the processes and tools used to complete reviews. This could include programmatic assessments with Compliance Risk management to determine the impact of model review work to various pillars.
- Build strong relationships and consensus across the organization, aligning conflicting priorities and resolving issues as required to achieve progress.
- Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
- Proficiency in regulatory compliance requirements particularly Fair Lending, Privacy, Vendor Risk Management and principles-based compliance (e.g., UDAAP).
- General understanding of technical compliance requirements (e.g. Regulation E, Z, CC)
- Promote an environment that supports diversity and reflects the M&T Bank brand.
- Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
- Complete other related duties as assigned.
Education Required:
- Bachelor’s degree in mathematics, statistics, business, quantitative analysis, or other compliance disciplines, and a combined minimum of 5 years of relevant experience.
- Master’s degree mathematics, statistics, business, quantitative analysis, or other compliance disciplines, and a combined minimum of 3 years of relevant experience.
Experience Required:
- Demonstrated ability to analyze data across divergent use cases.
- Demonstrated ability to review models to address various compliance questions and identify risk.
- Data visualization Tools and Microsoft Office.
- Banking or Financial Services experience.
- Regulatory Compliance advisory and analysis experience
- Ability to synthesize model data and translate into risk analysis in a collaborative manner across business functions and product lines to derive optimum solutions.
- Demonstrated ability to communicate complex concepts.
- Excellent presentation and communication skills, including technical writing abilities.
- Excellent time management skills and ability to work under tight deadlines.
Education and Experience Preferred:
- Fair Lending Risk Quantitative Analytics and Modeling
- Compliance Risk Analysis
- Credit Analysis experience
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M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,869.52 - $163,115.87 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above corresponds to our national pay range for this role. The specific pay range applicable to you may vary based on your location.LocationClanton, Alabama, United States of America ApplyJob Profile
Internal control standards Market-informed pay
Tasks- Analyze data
- Build relationships across organization
- Develop model strategy
- Identify risk issues
- Identify risk-related issues
- Manage risk assessments
- Perform compliance reviews
- Risk Management
- Validate models
AI Analytics Audit Banking Business strategy Communication Compliance Compliance Risk Management Credit Analysis Data analysis Data Visualization Fair Lending Financial Services Internal control standards Machine Learning Mathematics Microsoft Office Monitoring Presentation Principles-based compliance Quantitative analysis Regression Regulatory Compliance Regulatory standards Risk Analysis Risk Management Statistical models Statistics Strategic planning Technical Writing Time Management UDAAP Vendor risk management Writing
Experience5 years
EducationBachelor Bachelor's degree Business Master Master's degree Mathematics Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9