Avp Model Validation information
See salary details
$22.60 - $27.64
2% of jobs
$27.64 - $32.69
6% of jobs
$32.69 - $37.74
13% of jobs
$39.32 is the 25th percentile. Wages below this are outliers.
$37.74 - $42.79
13% of jobs
$42.79 - $47.84
11% of jobs
The median wage is $50.36 / hr.
$47.84 - $52.88
12% of jobs
$52.88 - $57.93
9% of jobs
$61.82 is the 75th percentile. Wages above this are outliers.
$57.93 - $62.98
13% of jobs
$62.98 - $68.03
13% of jobs
$68.03 - $73.08
6% of jobs
$73.08 - $78.13
3% of jobs
How much do avp model validation jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for avp model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.
An AVP (Assistant Vice President) in Model Validation is responsible for reviewing and validating financial and risk models used by banks or financial institutions. They ensure that models are accurate, reliable, and comply with regulatory standards. This role involves assessing model design, testing methodologies, and documentation, as well as identifying limitations and recommending improvements. The AVP Model Validation works closely with model developers, risk managers, and auditors to mitigate model risk and support sound decision-making.
As an AVP Model Validation, a frequent challenge is staying abreast of evolving regulatory requirements and ensuring that the models used by the organization meet these rigorous standards. You’ll often need to critically review complex quantitative models, which demands strong attention to detail and the ability to communicate technical findings to non-technical stakeholders. Collaboration with model developers and business units is essential to address any discrepancies or weaknesses identified during validation. Balancing thoroughness with efficiency, especially when multiple models require concurrent reviews, is also a key aspect of the role.
To thrive as an AVP Model Validation, you need strong quantitative and analytical skills, advanced knowledge of statistical modeling, and typically a graduate degree in mathematics, finance, or a related field. Proficiency in programming languages such as Python, R, or SAS, and familiarity with model risk management frameworks and regulatory requirements are essential. Excellent communication, critical thinking, and stakeholder management skills help you articulate complex model issues and collaborate effectively across teams. These skills ensure accurate model validation, regulatory compliance, and effective risk mitigation for the organization.
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