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

Develop financial models to assess risk retention strategies and their impact on company cash flow ... Present joint Risk/Safety loss analyses to senior leadership on a regular basis, including lagging ...

Reporting to the SVP, Risk Management, the Director will lead risk identification, mitigation, and prevention efforts across Ashford's family of operating companies - with direct exposure to senior ...

Position Summary The Director of Risk Management supports the execution of TCR's risk management and insurance strategy, working closely with the Senior Director of Risk Management to ensure ...

Position Summary The Director of Risk Management supports the execution of TCR's risk management and insurance strategy, working closely with the Senior Director of Risk Management to ensure ...

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Senior Model Risk Management information

See Keller, TX salary details

$20.4K

$107.4K

$190.7K

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

As of Aug 6, 2026, the average yearly pay for senior model risk management in Keller, TX is $107,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $131,700.00 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 the most commonly searched types of Model Risk Management jobs in Keller, TX? The most popular types of Model Risk Management jobs in Keller, TX are:
What are popular job titles related to Senior Model Risk Management jobs in Keller, TX? For Senior Model Risk Management jobs in Keller, TX, the most frequently searched job titles are:
What cities near Keller, TX are hiring for Senior Model Risk Management jobs? Cities near Keller, TX with the most Senior Model Risk Management job openings:

Head of CCB Auto and Business Banking Portfolio Risk Modeling

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Lead a global team of quantitative experts to design, deliver, and govern bestinclass 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 endtoend 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 highperforming global team building predictive risk models for CCB's Auto and Business Banking lending portfolios.
  • Own the endtoend 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 117/OCC 201112), with strong documentation, controls, and audit readiness.
  • Deliver clear, decisionuseful 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 highperforming quantitative teams.
  • Expertise across advanced modeling methods (e.g., parametric and nonparametric regression, time series, survival/PDLGDEAD frameworks, machine learning).
  • Proficiency in Python and/or R; familiarity with SAS; strong SQL and experience with largescale 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 cloudbased analytics environments and secure model deployment at scale.

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

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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