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Model Risk Manager Jobs in Irving, TX (NOW HIRING)

Deloitte

Financial Risk Manager

Dallas, TX

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

USAA

Senior Audit Manager - Model Risk/AI

Plano, TX · On-site +1

Manages strategic initiatives and assists with the development and implementation of a risk-based ... Experience in Model Risk. * Experience in AI Governance. Compensation range: The salary range for ...

USAA

Data Scientist Lead - Model Development

Plano, TX · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes and peer reviews technical documents for knowledge persistence, risk ...

Algo Soft Solutions LLC

Sr Modeling Lead

Plano, TX · On-site

... 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 ...

Inizio Partners

Senior Modeling Lead - Banking

Dallas, TX · On-site

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 ...

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All JobsModel Risk Manager JobsModel Risk Manager Jobs in Irving, TX

Model Risk Manager information

See Irving, TX salary details

$49.5K

$107.1K

$163.2K

How much do model risk manager jobs pay per year?

As of Jul 3, 2026, the average yearly pay for model risk manager in Irving, TX is $107,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $123,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Irving, TX? For Model Risk Manager jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Irving, TX look for? The top searched job categories for Model Risk Manager jobs in Irving, TX are:
What cities near Irving, TX are hiring for Model Risk Manager jobs? Cities near Irving, TX with the most Model Risk Manager job openings:
Model Risk Manager jobs near you
Head of CCB Auto and Business Banking Portfolio Risk Modeling

Head of CCB Auto and Business Banking Portfolio Risk Modeling

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks

Job description


Lead a global team of quantitative experts to design, deliver, and govern best-in-class predictive models that power valuation, credit reserving, stress testing, budgeting, and risk assessment for CCB's Auto and Business Banking lending portfolios. You will own the end-to-end modeling lifecycle and translate model insights into actions that shape portfolio strategy and risk outcomes. The CCB Portfolio Risk Modeling Center of Excellence brings together economists, statisticians, mathematicians, and analytics professionals to quantify and manage lending risks across Consumer & Community Banking. The team applies advanced methods to one of the world's largest consumer lending datasets, partnering across JPMC to assess, measure, and manage critical risks across CCB portfolios.
Job Responsibilities
  • Lead and develop a high-performing global team building predictive risk models for CCB's Auto and Business Banking lending portfolios.
  • Own the end-to-end modeling lifecycle (data sourcing, design, estimation, validation readiness, implementation, deployment, performance monitoring, and periodic recalibration).
  • Ensure compliance with Firmwide model risk management standards and applicable regulatory expectations (e.g., SR 11-7/OCC 2011-12), with strong documentation, controls, and audit readiness.
  • Deliver clear, decision-useful insights based on models and scenario analyses that inform credit strategy, reserving (e.g., CECL), stress testing, portfolio valuation, and budgeting.
  • Advance the modeling roadmap by modernizing data pipelines, feature engineering, and model operations practices; drive process efficiency and reproducibility.
  • Partner with Product, Risk, Finance, Technology, and Model Risk teams to align models with business objectives and ensure robust change management and governance.
  • Establish model monitoring frameworks, performance thresholds, and action plans; proactively identify model, data, or process risks and drive remediation.
  • Recruit, mentor, and retain talent; promote a culture of scientific rigor, delivery excellence, and inclusive leadership.

Required qualifications, Capabilities, and Skills
  • Ph.D. (or comparable advanced degree) in Economics, Statistics, Operations Research, Mathematics, or a related quantitative field; or equivalent experience.
  • 10+ years building and deploying predictive risk models for consumer lending portfolios, with deep domain knowledge in auto and business banking credit.
  • 5+ years leading and developing high-performing quantitative teams.
  • Expertise across advanced modeling methods (e.g., parametric and non-parametric regression, time series, survival/PD-LGD-EAD frameworks, machine learning).
  • Proficiency in Python and/or R; familiarity with SAS; strong SQL and experience with large-scale datasets.
  • Demonstrated ability to communicate complex analytics succinctly and influence senior stakeholders.
  • Strong analytical judgment and problem solving; track record of improving processes and controls.

Preferred qualifications, Capabilities, and Skills
  • Experience with CECL/allowance modeling, capital stress testing, and scenario design.
  • Familiarity with model risk governance, validation expectations, and audit processes.
  • Experience with modern data and model operations tooling (e.g., Spark, Git, CI/CD, workflow orchestration) and collaboration with Technology/Engineering teams.
  • Exposure to cloud-based analytics environments and secure model deployment at scale.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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