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Director Model Risk Governance Jobs in Georgia (NOW HIRING)

Invesco

Risk Director

Atlanta, GA · Hybrid

... governance through the establishment of risk limit frameworks Ensure all activities are in line ... Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most ...

PGA TOUR Superstore

Data Governance Lead

Roswell, GA · On-site

Partner with peer teams across Technology, Risk, Business, and Information Security to align data ... data modeling and lineage traceability. Work Environment and Physical Requirements: * Monday ...

PGA TOUR Superstore

Data Governance Lead

Center, GA

Partner with peer teams across Technology, Risk, Business, and Information Security to align data ... data modeling and lineage traceability. Work Environment and Physical Requirements: * Monday ...

Home Depot

Director Risk Management

Atlanta, GA · On-site

... System Governance - Develops and implements policy and procedures for the effective management of the risk information system; acts as liaison with the risk management information system vendor ...

Dlapiper

Director, Engineering

Atlanta, GA

Summary The Director, Engineering is responsible for leading the design, development, delivery ... Ensure compliance with firm security, risk, governance, privacy, and data protection standards ...

Novelis

AI Governance Principal

Atlanta, GA

Stakeholder Leadership This role does not have direct reports. Leadership is exercised through ... AI model lifecycle governance (intake through retirement) * AI risk register, incident response ...

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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 of Model Risk Governance, and why are they important?

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 are Director Model Risk Governance roles?

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 of 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
Global Head of Catastrophe Risk Analytics

Global Head of Catastrophe Risk Analytics

Starr Insurance Companies

Atlanta, GA • On-site

Full-time

Posted 6 days ago

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

The Group Head of Catastrophe Risk Analytics is responsible for leading Catastrophe risk analytics activities across all of Starr Group. This critical leadership position acts as a thought leader and strategic partner, ensuring world-class approaches to catastrophe risk modeling, Risk Analytics, and helps build portfolio management framework that is aligned with underwriting and enterprise risk management strategies. The ideal candidate has deep expertise in catastrophe modeling, a strong analytical mindset, exceptional communication skills, and proven leadership experience.

Key Responsibilities:

  • Develop and execute the group-wide catastrophe risk analytics vision and strategy, ensuring alignment with underwriting strategy, corporate risk appetite and regulatory requirements.
  • Collaborate with underwriting, claims, actuarial, finance, and IT functions to deliver robust catastrophe risk insights that inform technical pricing, portfolio optimization, accumulation control, and capital management.
  • Lead group wide efforts to aggregate catastrophe risk, and deliver associated analytics that support development and execution of underwriting strategy
  • Lead, inspire, and mentor a team of analytics professionals, promoting collaboration, technical excellence, and innovation.
  • Evaluate emerging risks, trends, and technologies in catastrophe modeling and analytics, recommending adoption where appropriate.
  • Oversee the assessment of emerging risks (e.g., climate change, new perils) and evaluate/implement state-of-the-art analytics technology and innovation.
  • Partner with external vendors, data providers, and internal technology partners to develop and deploy optimized Catastrophe modeling workflows and toolset for production of risk analytics.

Qualifications:

  • Advanced degree in a relevant field (e.g., Actuarial Science, Statistics, Geophysics, Engineering, Applied Mathematics, or similar).
  • A minimum of 15 years' experience in catastrophe risk analytics, with significant exposure to both insurance and reinsurance business models.
  • Demonstrated experience in embedding advanced analytics and automation in catastrophe risk management processes.
  • In-depth understanding of capital modeling, risk appetites, reinsurance structures, and portfolio optimization.
  • Strong leadership and people management track record, including in diverse, global, matrixed organizations.
  • Deep expertise in utilization of vendor catastrophe models (RMS, AIR) for development of risk analytics.
  • Excellent interpersonal and communication skills; able to translate complex analytics into actionable business insights.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools.
  • Up-to-date knowledge of regulatory environments affecting catastrophe risk.
  • Strong programming and data science skills (e.g., Python, R, SQL).

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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