Model Risk Management Analyst

SYSTEMTEC•Columbia, SC

7d•Hybrid

About The Position

SYSTEMTEC is seeking a Model Risk Management Analyst for a hybrid direct hire opportunity for candidates in Columbia, SC. The 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.

Requirements

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.

Nice To Haves

Experience with artificial intelligence, machine learning, advanced analytics, emerging technology risk, and AI/model governance within a regulated financial environment.

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 escalate 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.