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Director Model Risk Governance Jobs in Oklahoma (NOW HIRING)

Novartis

Enterprise Risk Manager (d/f/m)

Prague, OK · On-site

Enhancing the configuration requirements for the Governance, Risk & Compliance (GRC) tool, defining ... Minimum of 5 years of relevant experience in Risk Management, Model Risk, Operational Risk, IT ...

American Fidelity

General Counsel

Oklahoma City, OK · On-site

... direct oversight of the Chief Compliance Officer and the compliance department - and is accountable ... risk, governance, and business development, including mergers and acquisitions, new ventures ...

Americanfidelity

General Counsel

Oklahoma City, OK · On-site

... direct oversight of the Chief Compliance Officer and the compliance department - and is accountable ... risk, governance, and business development, including mergers and acquisitions, new ventures ...

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Director Model Risk Governance information

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a director model risk governance?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What is a director model risk governance?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a director model risk governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
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Director Model Risk Governance jobs near you

Financial Crimes Risk Signal Analyst

STRIDE BANK NA

Oklahoma City, OK • On-site

Full-time

Re-posted yesterday

Job description

The Financial Crimes Risk Signal Analyst specializes in evaluating alerting signals, data inputs, and risk indicators used across fraud and BSA/AML/OFAC detection systems. The role ensures signals are performing as intended, validates data quality, and supports reporting that informs model and rule refinement across financial crime programs.

PRINCIPAL DUTIES AND RESPONSIBILITIES

  1. Researches and validates risk signals used in transaction monitoring, fraud scoring, and rule-based alerting.
  2. Ingests, cleanses, transforms, and validates data from diverse sources to support analytics, dashboards, and enabled models.
  3. Supports end-to-end life cycle of alerting quality and effectiveness for Financial Crimes Programs.
  4. Supports data quality dashboards, scorecards, and alerting mechanisms.
  5. Conducts data quality assessments, contributes to root-cause analysis, and participates in remediation planning.
  6. Assists in development of KRIs and KPIs such as detection efficiency, signal precision, and false-positive ratios.
  7. Maintains structured documentation supporting compliance, audit, model, and financial crimes risk governance.
  8. Collaborates with Compliance, Enterprise Data, and Risk teams to refine signal thresholds, rule logic, and detection coverage.
  9. Translates complex analytical concepts into accessible insights for varied technical and business audiences.
  10. Performs other duties as assigned.

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in Analytics, Information Systems, Finance, Criminal Justice, or related field, required.
  • 3-5 years' experience in fraud/AML analytics, risk signal validation, or operational risk monitoring, required.
  • 3-5 years' experience in BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required
  • Experience with data-driven roles involving large datasets, preferred.
  • Experience producing governance-grade validation or audit documentation, preferred.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong analytical and conceptual thinking skills, with the ability to assess risk signals, indicators, and detection logic.
  • Proficiency with SQL, PowerBI and comfort navigating transaction-level datasets.
  • Ability to translate signal performance issues into actionable insights.
  • Understanding of AML/fraud regulatory principles and risk detection concepts.
  • Familiarity with visualization tools for presenting findings to non-technical stakeholders.
  • High attention to detail, with strong documentation and audit readiness standards.
  • Knowledge of data quality domains and data lineage principles.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.

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