Model Risk Management

SYSTEMTEC; Columbia (SC); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health, dental, disability, and life

401(k) with match

Job summary

SYSTEMTEC is seeking a senior Model Risk Management Analyst in Columbia, SC for a hybrid direct hire. You will strengthen and oversee the program, including governance, validation, risk assessment, and regulatory alignment, while partnering with senior stakeholders across the organization.

You will lead independent validations, develop plans, manage model inventory, and challenge model assumptions with strong communication skills. Regulatory experience and AI/analytics exposure are valued.

Qualifications

• 10+ years in model risk management or related finance domain.
• 7+ years designing, administering, validating, or overseeing Model Risk Management and model validation programs.
• Experience conducting independent model validations, quantitative reviews, or analytical assessments and documenting validation conclusions.
• Strong knowledge of Model Risk Management frameworks, model governance, lifecycle management, validation methodologies, and regulatory expectations, including SR 11-7.
• Experience evaluating models involving credit, liquidity, market, interest-rate, stress testing, forecasting, capital planning, or other financial risk applications.
• Experience working with regulators, auditors, senior executives, governance committees, and/or external model validation providers.

Responsibilities

• Lead and oversee independent model validation activities, including assessments of model design, conceptual soundness, assumptions, data, implementation, performance, controls, and limitations.
• Develop risk-based model review and validation plans based on model materiality, complexity, risk classification, regulatory expectations, and lifecycle requirements.
• Maintain oversight of the model inventory, model classifications, governance processes, monitoring practices, and overall effectiveness of the Model Risk Management program.
• Provide independent challenge to model owners and senior stakeholders, communicate findings and risk implications, track remediation, and elevate significant concerns when appropriate.
• Advise management and governance committees on model risk trends, regulatory developments, validation results, emerging risks, and opportunities to strengthen model governance.
• Evaluate model risk associated with artificial intelligence and advanced analytics while coordinating with technology, cybersecurity, privacy, operational risk, compliance, and other relevant functions.

Skills

Model Risk Management

Quantitative Risk

Independent Validation

Regulatory Knowledge

Stakeholder Management

Analytical Thinking

AI/ML Experience

Written Communication

Education

Bachelor's degree in Finance/Economics/Math/Statistics/Data Science/Risk/Business

Advanced degree preferred

Job description

SYSTEMTEC is seeking a Model Risk Management Analyst for a hybrid direct hire opportunity for candidates in Columbia, SC Candidate will serve as a senior subject matter expert responsible for strengthening and overseeing the organization’s Model Risk Management program, including model governance, independent validation, risk assessment, and regulatory alignment. This role will provide independent challenge and strategic guidance across complex financial, quantitative, and emerging AI/analytics models while partnering with senior stakeholders across the organization.

Required Qualifications of the Model Risk Management Analyst:

• Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship or work with Third-Party agencies.
• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Data Science, Risk Management, Business, or a related field; advanced degree preferred.
• 10+ years of progressive experience in model risk management, quantitative risk, banking, financial services, treasury, finance, internal audit, regulatory supervision, or a related discipline.
• 7+ years of experience designing, administering, validating, or overseeing Model Risk Management and model validation programs.
• Demonstrated experience conducting independent model validations, quantitative reviews, or analytical assessments and documenting validation conclusions.
• Strong knowledge of Model Risk Management frameworks, model governance, lifecycle management, validation methodologies, and regulatory expectations, including SR 11-7.
• Experience evaluating models involving credit, liquidity, market, interest-rate, stress testing, forecasting, capital planning, or other financial risk applications.
• Experience working with regulators, auditors, senior executives, governance committees, and/or external model validation providers.
• Strong analytical, quantitative, critical-thinking, written communication, and stakeholder-management skills, with the ability to independently challenge model assumptions, methodologies, data, controls, and results.
• Preferred Skills/Experience: Experience with artificial intelligence, machine learning, advanced analytics, emerging technology risk, and AI/model governance within a regulated financial environment.

Responsibilities of the Model Risk Management Analyst:

• Lead and oversee independent model validation activities, including assessments of model design, conceptual soundness, assumptions, data, implementation, performance, controls, and limitations.
• Develop risk-based model review and validation plans based on model materiality, complexity, risk classification, regulatory expectations, and lifecycle requirements.
• Maintain oversight of the model inventory, model classifications, governance processes, monitoring practices, and overall effectiveness of the Model Risk Management program.
• Provide independent challenge to model owners and senior stakeholders, communicate findings and risk implications, track remediation, and elevate significant concerns when appropriate.
• Advise management and governance committees on model risk trends, regulatory developments, validation results, emerging risks, and opportunities to strengthen model governance.
• Evaluate model risk associated with artificial intelligence and advanced analytics while coordinating with technology, cybersecurity, privacy, operational risk, compliance, and other relevant functions.

Work Location:

Columbia, SC — Hybrid.

Compensation / Benefits:

Full-Time Employment with SYSTEMTEC means competitive compensation, access to health, dental, disability, and life coverage, and 401(k) with match.

***Please note: SYSTEMTEC is not set up to employ workers in the states of California, New York, and New Jersey***