Lead Model Validation

Essential Responsibilities

Independently execute model validations that are accurate, timely, and compliant with MRM policies, standards, and procedures across credit, market, operational risk, loss forecasting, stress testing, ALM, AML, fraud, pricing, and CECL models.
Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance.
Prepare and document validation reports, including findings, conclusions, and actionable recommendations for model owners and management.
Partner with AI Governance stakeholders to assist with review and onboarding on new AI solutions.
Assess ongoing performance monitoring results and identify potential model weaknesses, emerging risks, and areas requiring remediation.
Support the ongoing enhancement of model validation methods, tools, templates, and practices in alignment with evolving regulatory guidance and industry standards.
Review and challenge validation work performed by third-party vendors, including evaluation of methodologies, conclusion quality, and appropriateness of findings.
Partner with first-line model owners and users to support effective issue management, remediation planning, and closure of validation findings.
Present validation results and risk assessments to MRM leadership and other stakeholders in a professional and constructive manner.
Support model risk governance activities, new model onboarding, including inventory maintenance, periodic inventory recertification, and inventory reporting to applicable committees per MRM Standard.
Demonstrate discretion, integrity, and professionalism in handling sensitive information and managing differing viewpoints or conflicts.
Education & Years of Experience

Minimum - 4 Year Bachelors Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
Minimum - 5 Years of Build, test, implement, or validate models within the financial services industry or related
Preferred - 7 Years of Build, test, implement, or validate models within the financial services industry or related
In Lieu of Education

8 Years of Build, test, implement, or validate models within the financial services industry or related

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $95,100.00 to $163,100.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

‎Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

Annual performance bonus
Work from home up to 3 days a week
Paid parental leave
Employee discount programs
Time off including paid personal and sick days
11 paid holidays
Education reimbursement

Skills Required
Bachelor's degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
Minimum 5 years building, testing, implementing, or validating models within financial services or related
Experience validating models across credit, market, operational risk, loss forecasting, stress testing, ALM, AML, fraud, pricing, and CECL
Graduate degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
Preferred 7 years building, testing, implementing, or validating models within financial services or related
Eight years of relevant model build/test/validation experience in lieu of degree
Knowledge of Model Risk Management (MRM) policies, regulatory guidance, and AI governance practices
Ability to prepare and document validation reports, present findings to leadership, and support remediation and governance activities