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Weekend Model Risk Management Jobs in Phoenix, AZ

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to ... Partner with Enterprise Risk Management in the execution of Risk and Control Self Assessments.

Ensure alignment with model risk management, responsible AI, and data governance requirements * Coordinate documentation, approvals, and governance readiness * Deliver structured updates through ...

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation oversight for the life-cycle management of models which includes conducing model validation ...

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Weekend Model Risk Management information

See Phoenix, AZ salary details

$51.1K

$110.8K

$168.8K

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

As of Jun 1, 2026, the average yearly pay for weekend model risk management in Phoenix, AZ is $110,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Weekend Model Risk Management, and why are they important?

To thrive in Weekend Model Risk Management, you need a solid background in quantitative analysis, statistics, and risk management, typically supported by a degree in finance, mathematics, or a related field. Familiarity with risk management frameworks, financial modeling software (such as SAS, Python, or R), and regulatory guidelines is crucial. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top performers in this role. These skills ensure accurate risk assessment, compliance with regulations, and the ability to communicate complex findings to stakeholders even during off-peak hours.

What are some unique challenges faced by professionals working in Weekend Model Risk Management roles?

Professionals in Weekend Model Risk Management often face the challenge of addressing urgent model validation or risk assessment tasks outside of standard business hours, which requires strong time management and clear communication with weekday teams. Since model risk issues can arise unexpectedly, weekend teams must be adept at quickly assessing model performance, documenting findings, and escalating concerns as needed. Additionally, collaboration with cross-functional teams—such as compliance, IT, and front-office staff—is essential to ensure continuity of oversight and to resolve issues that may impact critical business decisions before the next trading week. This role offers exposure to a range of models and scenarios, helping build expertise and visibility within risk management functions.

What is Weekend Model Risk Management?

Weekend Model Risk Management refers to the process of identifying, assessing, and mitigating risks associated with financial and statistical models specifically over weekends or during non-standard business hours. This role is crucial for institutions that operate globally or require continuous monitoring to ensure models function properly and remain compliant even when regular staff may be unavailable. Weekend Model Risk Management professionals review model performance, validate data, and implement controls to prevent errors or breaches during off-peak times. Their work helps maintain the integrity and reliability of models used for trading, risk assessment, and decision-making.

What is the difference between Weekend Model Risk Management vs Weekend Quantitative Analyst?

AspectWeekend Model Risk ManagementWeekend Quantitative Analyst
CredentialsTypically requires risk management certifications, finance or quantitative degreesRequires quantitative degrees, often with programming skills
Work EnvironmentFocuses on risk assessment, model validation, complianceInvolves data analysis, model development, financial modeling
Industry UsageCommon in banking, asset management, financial institutionsCommon in hedge funds, investment banks, trading firms

Weekend Model Risk Management professionals focus on identifying and mitigating risks associated with financial models, ensuring compliance and accuracy. Weekend Quantitative Analysts primarily develop and analyze models to support trading and investment decisions. While both roles require quantitative skills and finance knowledge, their core responsibilities differ: risk management emphasizes validation and oversight, whereas quantitative analysis centers on model creation and optimization.

What are the most commonly searched types of Model Risk Management jobs in Phoenix, AZ? The most popular types of Model Risk Management jobs in Phoenix, AZ are:

Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Bank of America

Chandler, AZ

Full-time

PTO

Posted 17 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

  • Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • Experience with SAS, Python, R, or similar statistical software
  • Experience with Arena or similar discrete event simulation software
  • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
  • Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
  • Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
  • Natural curiosity and drive to answer important business questions
  • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

  • Master's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

  • Analytical Thinking
  • Business Intelligence
  • Data Modeling
  • Data Visualization
  • Data and Trend Analysis
  • Attention to Detail
  • Collaboration
  • Data Management
  • Data Mining
  • Presentation Skills
  • Consulting
  • Problem Solving
  • Risk Management
  • Stakeholder Management
  • Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.