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Senior Quantitative Risk Analyst Jobs in Ohio (NOW HIRING)

OH0713 NW Bancshares HQ, PA0258 Bellevue The Senior Quantitative Analyst II is responsible for ... Risk, Market Risk, Machine Learning, Artificial Intelligence, Stress Testing, or 3rd Party Vendor ...

Sr. Quantitative Model Analyst General Summary: Independently leads and assists activities related ... Model Risk Management Framework: Contribute to the development and enhancement of the bank's model ...

Lead Risk Quantitative Analyst

Findlay, OH ยท On-site

$120 - $190/hr

Position Overview MPC has an opportunity for a Lead Risk Quantitative Analyst with a focus on building and maintaining analytical data models. This role will help develop and implement analytical ...

... senior risk leader responsible for establishing and overseeing quantitative technology risk ... Performs Monte Carlo, scenario-based, and probabilistic analyses where applicable. Supports capital ...

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Senior Quantitative Risk Analyst information

See Ohio salary details

$50.9K

$104.4K

$135.5K

How much do senior quantitative risk analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior quantitative risk analyst in Ohio is $104,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a senior quantitative risk analyst?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as a senior quantitative risk analyst?

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by senior quantitative risk analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

What is the difference between Senior Quantitative Risk Analyst vs Quantitative Risk Analyst?

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Ohio?

The most popular types of Quantitative Risk Analyst jobs in Ohio are:

What are popular job titles related to Senior Quantitative Risk Analyst jobs in Ohio?

For Senior Quantitative Risk Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Risk Analyst jobs in Ohio look for?

The top searched job categories for Senior Quantitative Risk Analyst jobs in Ohio are:

What cities in Ohio are hiring for Senior Quantitative Risk Analyst jobs?

Cities in Ohio with the most Senior Quantitative Risk Analyst job openings:

Infographic showing various Senior Quantitative Risk Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,430 per year, or $50.2 per hour.

Senior Quantitative Risk Analyst - Stress Testing & VaR

4500 Marathon Petroleum Company LP

Findlay, OH โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Marathon Petroleum Corporation in Findlay, OH seeks a Risk Quantitative Analyst to build and maintain analytical data models for stress testing and risk metrics like VaR, CFaR, EaR across commodity markets. The role collaborates with Middle Office and risk teams to shape governance and improve analytical outputs. Responsibilities include model development, data validation, and communicating outputs to both technical and non-technical stakeholders, with opportunities to apply Monte Carlo methods