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Model Risk Manager Jobs in Columbus, OH (NOW HIRING)

Collaborate closely with Model Risk Management (MRM), Compliance, Audit, Legal, and Information Security teams to ensure responsible AI deployment. * Create technical documentation, model development ...

... model-risk expectations. Qualifications Bachelor's degree in Information Technology, Computer ... Strong knowledge of Secure SDLC, Vulnerability Management, and Incident Management practices and ...

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Model Risk Manager information

See Columbus, OH salary details

$49.8K

$107.9K

$164.4K

How much do model risk manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for model risk manager in Columbus, OH is $107,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $124,800.00 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 Columbus, OH?

For Model Risk Manager jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Model Risk Manager jobs in Columbus, OH look for?

The top searched job categories for Model Risk Manager jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Model Risk Manager jobs?

Cities near Columbus, OH with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in Columbus, OH as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $105,015 per year, or $50.5 per hour.

Quantitative Forecasting Platform Lead - Asset Wealth Management Finance

Columbus, OH

J.P. Morgan
Banking and Credit Intermediation • 10K+ employees

$82K - $102K/yr

Full-time

Medical, Retirement

Posted 3 days ago

New


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join Asset & Wealth Management (AWM) Finance to lead the delivery and evolution of quantitative forecasting tools that power stress testing and business-as-usual exercises. You'll shape end-to-end Python-based tooling and GenAI-enabled applications, lead a talented team of developers and data scientists, and serve as the trusted point of contact for senior stakeholders across Finance, Risk, and Technology.

As the Quantitative Forecasting Platform Lead in Asset & Wealth Management (AWM) Finance, you will own the roadmap and delivery of forecasting tools spanning model implementation, production-grade Python tooling, and GenAI applications. You'll lead a team of model developers and data scientists, ensure robust controls and governance, and act as the single accountable owner for deliverables and stakeholder communications. You will translate complex technical work into clear outcomes, risks, and decisions for senior, non-technical audiences.

Job Responsibilities 

  • Own and drive the roadmap for forecasting tools supporting stress test and BAU exercises, including intake, prioritization, delivery planning, and release management
  • Ensure tooling is robust, scalable, auditable, and fit-for-purpose across recurring production cycles (data ingestion, transformations, model runs, outputs/reporting, controls)
  • Establish and maintain standards for code quality, documentation, testing, and operational readiness
  • Implement quantitative models in Python, partnering with model owners and users to translate requirements into production-grade pipelines with full traceability
  • Partner with model risk and governance stakeholders to support documentation, testing evidence, explainability, and controlled change management
  • Identify, prototype, and productionize GenAI applications that improve productivity and controls for Finance forecasting and analysis workflows, with appropriate guardrails
  • Serve as the single accountable owner for forecasting tool deliverables and stakeholder communications, running governance routines (status reporting, risk/issue management, decision logs)
  • Translate technical details into clear outcomes, risks, and decisions for non-technical audiences
  • Lead and develop a team of quantitative developers and data scientists, managing sprint/capacity planning, delivery milestones, and operational support coverage
  • Coach engineers on engineering discipline (CI/CD, testing, packaging, environment management) and Finance domain context
  • Ensure controls around data quality, reconciliations, run-time monitoring, lineage, access, and repeatability, and drive incident response, root-cause analysis, and compliant Model Development Life Cycle (MDLC) practices

Required Qualifications, Capabilities, and Skills 

  • 8+ years of experience in quantitative analytics, model development, data science, financial forecasting, risk modeling, or financial technology

  • Strong Python engineering skills, with experience building production-grade data/model pipelines (not just notebooks)
  • Proven experience implementing or productionizing quantitative forecasting models (finance, risk, stress testing, or closely related domains)
  • Demonstrated ownership of an end-to-end platform or tool used by business users, including production support and lifecycle management
  • Experience operating in a stakeholder-heavy environment, managing competing priorities, clarifying requirements, and driving decisions
  • Strong written and verbal communication skills, with the ability to produce crisp status updates, articulate risks, and propose options
  • Experience leading and developing a team of engineers or data scientists
  • Understanding of controls and operational excellence across production cycles (data quality, monitoring, lineage, access, repeatability)

Preferred Qualifications, Capabilities, and Skills 

  • Experience supporting stress testing and/or regulatory-driven forecasting processes
  • Familiarity with model governance / model risk management expectations (documentation, validation support, controls evidence)
  • Experience building GenAI applications (e.g., retrieval-augmented generation, workflow assistants, evaluation/monitoring)
  • Experience with modern software engineering practices (e.g., CI/CD, automated testing, dependency management)

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â