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Senior Model Risk Management Jobs in Irving, TX (NOW HIRING)

FHLBank Dallas

Senior Market Risk Analyst

Irving, TX · On-site

Researches a variety of market risk management concepts, performs income forecast modeling analytics and performs portfolio variance analysis. Provides accurate, timely, and reliable measures of the ...

Synchrony Financial

AVP, Model Validation

Dallas, TX · On-site

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role ...

Synchrony Financial

AVP, Model Validation

Dallas, TX · On-site

$100K - $170K/yr

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role ...

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Senior Model Risk Management information

See Irving, TX salary details

$21.6K

$113.6K

$201.7K

How much do senior model risk management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior model risk management in Irving, TX is $113,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $139,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Model Risk Management vs Model Validation Analyst?

AspectSenior Model Risk ManagementModel Validation Analyst
CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFASimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentStrategic oversight, risk assessment, policy development within financial institutionsHands-on model testing, validation, and documentation in quantitative teams
Industry UsageUsed across banking, insurance, asset management for risk governancePrimarily in banking and financial services for model validation roles

While both roles require quantitative expertise and relevant certifications, Senior Model Risk Management focuses on overseeing and managing model risks at a strategic level, whereas Model Validation Analysts concentrate on testing and validating models to ensure accuracy and compliance.

What are popular job titles related to Senior Model Risk Management jobs in Irving, TX?

For Senior Model Risk Management jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Senior Model Risk Management jobs in Irving, TX look for?

The top searched job categories for Senior Model Risk Management jobs in Irving, TX are:

What cities near Irving, TX are hiring for Senior Model Risk Management jobs?

Cities near Irving, TX with the most Senior Model Risk Management job openings:

Senior Model Risk Management jobs near you
Infographic showing various Senior Model Risk Management job openings in Irving, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $113,557 per year, or $54.6 per hour.

Senior Modeling Lead - Banking

Inizio Partners

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position: SENIOR MODELING LEAD

YEARS OF EXPERIENCE: 9-10+ YEARS

Location: Plano, TX & San Antonio, TX

Position Overview

We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10+ years of modeling experience and a proven ability to operate effectively at both strategic and technical levels.

Key Responsibilities

  • Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business
  • Oversee full model lifecycle across all workstreams — including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance.
  • Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team.
  • Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed.
  • Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards.
  • Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders.
  • Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership.
  • Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement.
  • Define team's long-term analytical roadmap, balancing innovation with BAU delivery.
  • Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives.

Qualifications & Experience

  • 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity.
  • Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation.
  • Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platforms.
  • Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations.
  • Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment.
  • Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes.
  • Exceptional communication skills & ability to present complex technical concepts clearly to stakeholders.
  • Track record of driving adoption of emerging AI/ML technologies in a structured manner.
  • Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred.