Job Title: Model Validation Developer
Location: Newark, DE
Type: Fulltime
About Customer:
Our client, a publicly traded U.S. corporation that provides consumer banking is seeking for a Model Validation Developer.
Job Summary:
The Model Risk Developer will be responsible for ensuring the accuracy, integrity, and compliance of our organization's financial models and risk assessment tools.
What You'll Do:
- Oversee the validation and testing of financial models, including model development, data analysis, calibration, and documentation.
- Assess and evaluate the effectiveness and limitations of existing models and identify areas for improvement.
- Collaborate with cross-functional teams to understand business needs and requirements and ensure that models align with organizational objectives.
- Conduct periodic model risk assessments, including model governance, validation, and ongoing monitoring, to identify and mitigate potential risks.
- Prepare and present reports on model risk to senior management and regulatory bodies.
- May manage a Model Risk team and provide guidance, support, and mentorship to team members.
- Implement a comprehensive model risk management framework, policies, and procedures to ensure compliance with regulatory requirements and industry best practices.
What you Have:
Minimum Education, Skills and Experience Required:
- Strong knowledge of quantitative analysis, statistical techniques, and risk assessment methodologies.
- Familiarity with regulatory requirements and the ability to interpret and implement them.
Proficiency in programming languages such as SAAS, Python or R, along with experience working with statistical packages.
- Excellent analytical and problem-solving skills, with the ability to evaluate complex financial models and identify potential risks.
- Strong leadership and team management abilities, with a track record of effectively leading and developing teams.
- Exceptional written and verbal communication skills, with the ability to present complex information in a clear and concise manner.
Preferred Education, Skills and Experience:
- Bachelor's degree in finance, mathematics, statistics, economics, or a related field.
- 5 years of experience in statistical modeling, model risk management, financial modeling, or a related field within the financial services industry.