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Model Risk Manager Jobs in Charlotte, NC (NOW HIRING)

Requirements * 5+ years of experience in financial services with meaningful exposure to supervision, compliance, model risk management, or regulatory operations. * Bachelor's degree in Business ...

AVP, AI Risk and Governance

Fort Mill, SC · On-site +1

$117K - $195K/yr

The ideal candidate has a strong background in enterprise, technology and model risk management frameworks. Roles & Responsibilities: * Support in maintaining and evolving the AI governance framework ...

... Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on ... You will utilize skills in data manipulation, visualization, and statistical modeling to support ...

Primary responsibilities include managing execution of the enterprise-wide Risk Appetite Statement ... Maintain RAS governance documentation and controls (e.g., non-model tool inventory/documentation ...

Primary responsibilities include managing execution of the enterprise-wide Risk Appetite Statement ... Maintain RAS governance documentation and controls (e.g., non-model tool inventory/documentation ...

Showing results 41-60

Model Risk Manager information

See Charlotte, NC salary details

$50.3K

$109K

$166K

How much do model risk manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for model risk manager in Charlotte, NC is $108,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $126,000.00 per year, depending on experience, location, and employer.

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 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 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 Charlotte, NC? For Model Risk Manager jobs in Charlotte, NC, the most frequently searched job titles are:
What cities near Charlotte, NC are hiring for Model Risk Manager jobs? Cities near Charlotte, NC with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $108,958 per year, or $52.4 per hour.

Quantitative Operations Associate II- Lead Modeler

Bank of America

Charlotte, NC • On-site

$53.50 - $69.25/hr

Full-time

PTO

Posted 14 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 523 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks


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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in time series forecasting and predictive modeling. 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 involve quickly gaining subject matter expertise to 1) assist with analyst onboarding and training, and 2) ensure model adherence to Model Risk Management (MRM) requirements. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, excellent verbal and written communication skills, and the ability to coach junior analysts
Quantitative Operations Associate II - Lead Modeler
Responsibilities include:
• Develop and maintain volume forecasting, capacity planning, and resource optimization models
• Research and implement new predictive modeling and operations research methodologies
• Assist in driving forecasting and capacity modeling consistency and innovation across team
• Routinely partner with Front Line Units (FLUs) to ensure model accuracy
• Conduct model production and performance presentations with executive leadership
• Assist with documentation and other efforts to adhere to Model Risk Management (MRM) requirements
• Serve as volume forecasting subject matter expert to help with analyst onboarding and training across Resource Analytics
Responsibilities:
  • Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models using advanced mathematical/statistical techniques
  • Drives horizontal consistency in model development, visualization, and usage across peer groups
  • Conducts routine model production and performance presentations with executive leadership
  • Ensures adherence to Model Risk Management (MRM) requirements
  • Supports ongoing model monitoring to improve forecasting performance and efficiency
  • Evaluates new opportunities and implement changes to improve model lifecycle processes
  • Demonstrates ability to operate independently, and ability train/mentor team members as needed

Required Skills:
• Master's degree in Mathematics, Statistics, Applied Economics, Industrial Engineering, Operations Research, Advanced Analytics, other STEM field; or equivalent experience.
• 5+ years of experience in quantitative roles modeling complex systems.
• Fundamental understanding of linear regression, time series, and other predictive modeling techniques, both through education and professional experience.
• Proficient in MS Office, particularly Excel and Copilot.
• Proficient in SAS, Python, or R.
• 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.

• Prior Banking industry analytics and modeling experience, specifically with developing models that adhere to standards set by a risk management governing body.
Desired Skills:
• Prior operational volume forecasting, capacity planning, or financial planning experience.
• Experience with Arena or similar discrete event simulation software.
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software.
• Tableau or other data visualization software experience.
• Data mining experience using SQL/SAS querying.
• Fundamental understanding of simulation and operations research techniques (discrete event simulation, Monte Carlo simulation, queuing theory, Markov chain modeling, optimization, etc.), both through education and professional experience.
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 information
Pay range
$126,000.00 - $168,700.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This 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.
Benefits
This 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.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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