Business Analyst
Coloplast
SQL
Associate Model Risk Analyst
BioCatch
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $70,000 - $90,000 per year
Job Level
JuniorMid-Level
Tech Stack
SQLSwift
About the role
- Work with a portfolio of our largest customers to drive and streamline the model approval process and support customers’ Model Risk requirements, controls and documentation.
- Respond to Model Risk Management (MRM) inquiries and requests from a customer-facing perspective.
- Lead customer discussions to enhance MRM processes, streamline validation, and accelerate time to value.
- Support customers in remediating model validation findings, tracking outstanding issues, and ensuring timely resolution.
- Prepare and review customer-specific model documentation for MRM approval.
- Maintain a centralized repository of customer model submissions, validation reports, and approval statuses for tracking and compliance purposes.
- Identify and communicate documentation gaps to ensure alignment with regulatory and internal governance standards.
- Stay informed on MRM regulations, industry best practices, and emerging model risks to help customers adapt to evolving requirements.
- Collaborate with Data Science, Threat Analytics, and Engagement Management teams to ensure swift and effective customer responses.
- Develop checklists and best practice guides to help customers navigate the MRM approval process efficiently.
- Manage multiple requests and engagements simultaneously, demonstrating strong organizational and multitasking skills.
- Drive internal process improvements based on customer feedback and regulatory changes.
- Report to the Manager of Model Risk and work closely with Data Science, Threat Analytics, and Engagement Management teams.
Requirements
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Finance, or related disciplines).
- Master’s or PH.D degree preferred
- Up to 4 years of experience in model risk management, data analytics, or a related field (internships or academic projects are considered).
- Familiarity with statistical modeling, machine learning techniques, and validation methodologies.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to write, modify, and interpret SQL queries
- Strong organizational skills with the ability to focus on multiple engagements at once.
- Excellent communication skills, with the ability to document and present findings effectively.
- Ability to translate complex technical ideas down to non-technical individuals
- Understanding regulatory guidance on model risk management (e.g., SR 11-7) is a plus, but not required.
