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Senior Quantitative Risk Analyst Jobs in Ohio (NOW HIRING)

... 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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Analyze loss runs, claims history, and deductible exposure * Support claims management ... Present risk findings and recommendations to senior management * Maintain risk policies, procedures ...

... quantitative risk analysis, and reporting risk exposure across complex projects. * Experience ... Proven ability to build and manage client relationships at senior level * Evidence experiences in ...

Bancorp's Quantitative Fraud Strategy team. In this role, you will play a critical part in ... senior leadership * Ability to manage multiple priorities in a fastmoving environment ...

Risk Analyst

Akron, OH

$120K - $142K/yr

Perform risk advisory services to support business units and senior management to continue to ... Conduct Risk Advisory Services to support business units in analyzing and managing enterprise-wide ...

Risk Analyst

Akron, OH ยท On-site

$120K - $142K/yr

Perform risk advisory services to support business units and senior management to continue to ... Conduct Risk Advisory Services to support business units in analyzing and managing enterprise-wide ...

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Showing results 1-20

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 Jul 24, 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 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 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 are the key skills and qualifications needed to thrive as a Senior Quantitative Risk Analyst, and why are they important?

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 Senior Quantitative Risk Analysts?

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 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $104,430 per year, or $50.2 per hour.
Sr. Quantitative Model Analyst

Sr. Quantitative Model Analyst

Federal Home Loan Bank of Cincinnati

Cincinnati, OH โ€ข On-site

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Sr. Quantitative Model Analyst

General Summary:
Independently leads and assists activities related to managing and mitigating model risks, by independently performing validations, monitoring governance, and providing guidance and expertise related to models used by the Bank. The Senior Analyst collaborates with various stakeholders to ensure the accuracy, reliability, and regulatory compliance of models used for pricing, risk measurement, and decision-making processes.
Principal Duties and Responsibilities:

  • Model Validation and Governance: Independently perform validation and governance efforts related to Bank models. Conduct comprehensive assessments of model accuracy, reliability, and robustness. Independently perform model validation activities, including reviewing model assumptions, methodologies, and implementation. Identify limitations, weaknesses, or gaps in models and propose enhancements or alternative approaches.
  • Model Risk Management Framework: Contribute to the development and enhancement of the bank's model risk management framework, policies, and procedures. Support the implementation and management of model risk management processes, including model inventory, model change management, and ongoing model monitoring.
  • Regulatory Compliance: Coordinate with key stakeholders to ensure compliance with regulatory model risk requirements (FHFA AB 2013-07; FHFA AB 2022-03).
  • Risk Identification and Measurement: Identify and assess the risks associated with financial models, including model errors, biases, and limitations.
  • Model Documentation and Reporting: Prepare comprehensive model validation reports, documenting the validation process, findings, and recommendations.
  • Collaboration and Leadership: Collaborate with key stakeholders to provide guidance and expertise in support of a sound model risk management environment at the Bank. Provide guidance and mentorship to junior members of the model risk management team.
  • Continuous Improvement and Innovation: Stay abreast of emerging trends, industry best practices, and technological advancements in model risk management. Identify opportunities for process optimization, automation, and efficiency gains within the model risk management function and ERM department.
  • Performs additional duties as requested by management.

Minimum Knowledge, Skills and Abilities Required:

  • Knowledge at a level normally acquired through the completion of a Master's Degree in finance, economics, mathematics, statistics, or financial engineering or equivalent work experience with financial, statistical, market risk, or credit risk models. A Ph.D. in a relevant discipline is a plus.
  • At least seven years' experience in model validation and/or model development at a financial institution, rating agency, regulatory agency, or as a financial industry consultant.
  • Strong understanding of financial models and their application in areas such as pricing, risk measurement, and decision-making. Knowledge of various model types, including credit risk, market risk, and liquidity risk models.
  • Knowledge of regulatory guidelines and industry standards for model risk management, such as AB 2013-07, SR 11-7, and OCC Bulletin 2011-12, is highly desirable.
  • Proficiency in programming languages such as Python, R, or MATLAB, with experience in data manipulation, statistical analysis, and model development.
  • Advanced/Intermediate Microsoft Office skills (particularly Excel and Word)
  • Strong analytical and problem-solving skills, with the ability to critically evaluate complex models and identify potential risks.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts and validation results to both technical and non-technical audiences.
  • Detail-oriented with strong organizational skills, able to manage multiple projects simultaneously and meet deadlines.
  • Ability to work collaboratively within a team environment and build effective working relationships with stakeholders at various levels.
  • Demonstrates interest in working with a variety of backgrounds and perspectives that align with the Bank's core value.
  • Promotes an environment of empathy and respect to ensure the inclusion of all team members.

Working Conditions:
Flexibility to work outside normal business hours if required to complete time sensitive projects. Requires close attention to detail to ensure the accuracy and integrity of information supplied to senior management and members.

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