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Model Risk Manager Jobs in San Jose, CA (NOW HIRING)

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

SRCO is a management-led function purpose-built to deliver a modern, sustainable, and risk-focused ... model tools to analyze PRDs, engineering specs, and system change documentation for ICFR risk ...

Serve as the practice leader for multiple strategic fintech/digital lending accounts, owning end-to-end onshore delivery across credit risk, fraud, collections, and modeling workstreams. * Manage ...

Showing results 41-60

Model Risk Manager information

See San Jose, CA salary details

$60.4K

$130.7K

$199.2K

How much do model risk manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for model risk manager in San Jose, CA is $130,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $151,200.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to be a model risk manager?

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 are 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 popular job titles related to Model Risk Manager jobs in San Jose, CA?

For Model Risk Manager jobs in San Jose, CA, the most frequently searched job titles are:

What cities near San Jose, CA are hiring for Model Risk Manager jobs?

Cities near San Jose, CA with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in San Jose, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $130,713 per year, or $62.8 per hour.

Senior Quantitative Analytics Specialist (Req #001942)

Wells Fargo

San Francisco, CA • On-site

$167K - $260K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Design, develop, and deploy financial models using advanced techniques and tools.

  • Create interactive finance visualization tools and dashboards to communicate results.

  • Work with business leaders to define objectives, assess data sources, and operationalize financial models.


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 714 frontline employees who took The Breakroom Quiz

88th of 175 rated banks


Job description

At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist in San Francisco, CA.

Job Role and Responsibility: Design, develop, and deploy financial models using state of the art techniques available in the open stack and/or vendor solutions. Create interactive finance visualization tools and dashboards. Build a highly scalable framework for ingesting, transforming and enhancing finance data at web scale. Partner with line of business executives and senior leaders to frame the problem and define/identify business objectives. Identify/assess financial data sources. Conduct comprehensive literature reviews to support the methodology decisions you will make as part of financial model development. Design and build effective data visualizations. Communicate the results to the line of business. Write comprehensive and accurate finance model development documentation. Develop a model monitoring plan. Knowledge of financial regulatory requirements related to model risk management (FRB/OCC SR 11-7). Adhere to corporate model risk policy and ensure compliance with model risk management. Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Contribute to data science team's group effort to stay concurrent with the cutting-edge algorithms methodologies in the open source community and vendor solutions. Work with technology and production teams to operationalize financial models. May be called upon to review vendor models and solutions and/or financial models developed outside of the Center of Excellence (COE). Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.

Travel required: None

Required Qualifications: Master's degree in Management Sciences and Quantitative Methods, Statistics, Mathematics, or related quantitative discipline plus 4 years of experience in the job offered or in a related quantitative analytics role.

Specific skills required:

Data transformation and data wrangling experience, using tools such as SQL;

Experience with model development using statistical modeling and machine learning techniques;

Proficiency in programming languages Python, Java, Scala, or R;

Solid understanding of machine learning techniques including neural networks, RandomForest, GBM and SVM;

Solid understanding of statistical modeling techniques including time series forecasting, linear regression, logistic regression, panel data analysis;

Exposure to big data tools Spark, Hive, Kafka, and Map Reduce;

Experience with machine learning libraries MLlib, scikit-learn, H2O; and

Experience with cloud platforms GCP, AWS, and Azure.

Salary: $167,000 - $260,000

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$0.00 - $0.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

16 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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