Senior Director, Model Risk Management Atlanta GA
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
What you will do
Leadership & Management
Lead manage and mentor a high-performing team of data scientists and reviewers providing expert oversight for both Generative AI application review and rigorous model validation projects.
Oversee the execution of multiple complex validation projects simultaneously from test design to final delivery and communication.
Serve as the primary technical lead for validating GenAI safety. Direct team members in identifying and mitigating complex risks such as model hallucinations prompt injection and data leakage.
Foster a culture of critical thinking continuous improvement and effective risk management within the team.
Collaborate with global partners to supervise validation projects ensuring a consistent and technically sound approach to AI/Model Risk Management across non-direct reporting lines
Technical Validation & Research
Lead and perform independent deep-dive validations of complex models focusing on the end-to-end design implementation and performance of Generative AI applications alongside traditional statistical models.
Conduct deep-dive research into emerging analytical techniques and LLM-as-a-judge evaluation methods to stay ahead of the curve in validating Agentic AI and other non-deterministic systems.
Develop and execute comprehensive validation test designs to assess model soundness and identify potential risks.
Critically assess the completeness and accuracy of model documentation code and marketing materials.
Develop and implement innovative validation approaches for complex and nontraditional models including those with unstructured data and unique risk profiles.
Governance & Collaboration
Serve as a trusted advisor to model developers engineers and business owners providing expert guidance on model design development and AI safety-by-design.
Review and provide guidance on model monitoring plans and ongoing performance reports.
Drive the enhancement of Model Risk Management procedures and standards to align with evolving regulatory requirements and industry best practices
Collaborate with key stakeholders across the organization including marketing technology legal compliance and business owners to ensure a robust model risk governance framework.
Respond to and manage inquiries from clients internal auditors and regulators regarding model risk matters.
Additional Qualifications/Responsibilities
What experience you will need
Masters degree in a quantitative field such as statistics data science computer science mathematics economics or finance. A PhD is strongly preferred.
7- 10 years of industry experience in predictive modeling data science or a related quantitative field. Prior experience with credit risk model development and/or validation is highly preferred.
A minimum of 3 years of experience managing a highly talented team with 6 or more direct reports is preferred.
Strong knowledge of and hands-on experience with a broad spectrum of modeling techniques ranging from traditional statistical methods (e.g. Logistic Regression Time Series XGBoost) to advanced architecture including Deep Neural Networks.
Generative AI and Agentic AI frameworks are highly preferred.
Extensive experience with Big Data environments and advanced computational processes.
Demonstrated experience with model risk management and/or compliance is highly preferred.
Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps.
Proficiency with programming languages such as SAS SQL R Python Scala and Spark.
Hands-on experience with UNIX/LINUX and Google cloud environments.
What could set you apart
Experience as a Data Scientist in the banking industry.
Exceptional critical thinking problem-solving and analytical skills.
Excellent interpersonal networking verbal and written communication skills with a proven ability to write and edit high-quality technical reports.
Highly detail-oriented proactive and efficient.
Required Experience:
Exec
Key Skills
- Category Management
- Athletics
- Customer
- ABAP
- Hydraulics
- ITI
About Company
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