Model Validation Analyst

Grow your career as a Model Validation Analyst with an innovative global bank in Irving, TX. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 6+ Months
Required Skills & Experience

• Bachelor’s/University degree in a quantitative discipline.
• 6+ years of experience in a quantitative role within Risk Management at a financial institution with experience in either Model development or validation.
• Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models, including time series models.
• Experience in model development, lifecycle management, and model validation including Performance monitoring and documentation.
• Practical experience using Python or similar statistical software to run model performance test.
• Proficiency in handling very large data sets.
• Familiarity with macroeconomic data (such as GDP and unemployment rates).
• Good data analytics, reporting, and documentation skills.
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time.

Desired Skills & Experience

• Master’s degree.
• Basic knowledge of Python for reading and debugging code.

What You Will Be Doing

• Manage model risk across the model lifecycle including model validation, ongoing performance monitoring and annual model reviews.
• Produce analytics and reporting used to manage risk for economic scenario expansion models.
• Assist in the development of analytic engines for business product lines.
• Conduct statistical analysis for risk related projects and data modeling/validation.
• Apply quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data.
• Prepare statistical and non-statistical data exploration, validate data, identify data quality issues.
• Conduct data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
• Analyze and interpret data reports, make recommendations addressing business needs and communicates results to diverse audiences.
• Conduct analysis and package it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
• Participate on teams to solve business problems.
• Manage stakeholder interaction with model developers and model validation teams during the model life-cycle.
• General knowledge of model assumptions, mathematical formulation, model testing, performance metrics and model implementation.
• Contribute to strategic, cross-functional initiatives within the organization.

You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.