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Quantitative Risk Analyst Jobs in Ohio (NOW HIRING)

US Bank

Quantitative Model Analyst 2

Columbus, OH · On-site

... internal risk standards. The position also requires clear communication of model performance ... in a quantitative field, and three or more years of relevant experience OR - MA/MS in a ...

John Deere

Ability to analyze business requirements and translate them into technical specifications. * Strong ... REVAL, FXALL, Accuity, SunGard, Reuters, BRMEdge, Quantitative Risk Management (QRM). What we offer ...

Medpace, Inc.

Risk Manager

Cincinnati, OH · On-site

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Strong analytical and quantitative skills; * Experience in managing projects; * Excellent ...

Medpace, Inc.

Risk Manager

Cincinnati, OH

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Strong analytical and quantitative skills; * Experience in managing projects; * Excellent ...

Citizens

Fraud Risk Analytics Sr Analyst

Cleveland, OH · On-site

$79K - $95K/yr

Description The Fraud Risk Sr Analyst is accountable for monitoring and developing fraud risk ... quantitative, business, or technical discipline, or equivalent combination of education and ...

Citizens

Fraud Risk Analytics Sr Analyst

Mason, OH · On-site

$79K - $95K/yr

Description The Fraud Risk Sr Analyst is accountable for monitoring and developing fraud risk ... quantitative, business, or technical discipline, or equivalent combination of education and ...

Citizens

Fraud Risk Analytics Sr Analyst

Mason, OH · On-site

$79K - $95K/yr

Description The Fraud Risk Sr Analyst is accountable for monitoring and developing fraud risk ... quantitative, business, or technical discipline, or equivalent combination of education and ...

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Quantitative Risk Analyst information

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$53.7K

$127.3K

$228.2K

How much do quantitative risk analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for quantitative risk analyst in Ohio is $127,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
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 Quantitative Risk Analyst jobs in Ohio? For Quantitative Risk Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Ohio look for? The top searched job categories for Quantitative Risk Analyst jobs in Ohio are:
Quantitative Risk Analyst jobs near you
Quantitative Analytics Manager- Model Risk

Quantitative Analytics Manager- Model Risk

KeyBank

Cleveland, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

KeyBank rating

8.3

Company rating: 8.3 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

30th of 145 rated banks

Job description

Location:
127 Public Square, Cleveland Ohio
The Quantitative Analytics Manager is primarily responsible for leading the validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Projects undertaken are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners' problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the "bigger picture" and driving efficiency in solution delivery
ESSENTIAL JOB FUNCTIONS
  • Independently assess and validate models, inferential methodologies, and analytical frameworks to evaluate their appropriateness, robustness, and effectiveness in addressing business needs and ensuring reliable answers to "What will happen and how confident are we in the results", including CECL, Stress Testing, and Consumer/Commercial Credit Risk models
  • Often responsible for large, complex problems that have broad implications and are less frequent
  • Identify and articulate observations based on a structured assessment of context, interdependencies, and analytical outcomes, and evaluate their impact on model soundness, reliability, and business use Reviews deliverables; proactively coaches others on approach and work product
  • Assess and challenge data preparation practices against established standards and model requirements, engage with data stewards to review data quality, traceability, and efficiency from a validation perspective
  • Evaluate the appropriateness of analytical methods used and assess whether they are suitable and well-justified for the given context

REQUIRED QUALIFICATIONS
  • Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience

DATA LITERACY
  • Understanding of:
    • Best practices for capturing / retaining data
    • Pros / Cons of competing analysis methods
  • Experience leading by:
    • Partnering with others to anticipate and understand needs process/procedures
    • Leading information practices / policies / procedures
    • Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
    • Promoting increased efficiency of data analysis by advocating clearer data requirements

TECHNOLOGY & TECHNIQUES
  • Advanced modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest), with the ability to evaluate, challenge, and validate model design, tuning approaches, and performance testing
  • Advanced Microsoft Office Suite
  • SQL/NoSQL
    • Relationship data structure
    • Selecting and retrieving data including unstructured data retrieval, archival, and ETL
    • Databases
  • Advanced Python/R/SAS:
    • Databases
    • Efficient coding
    • Can build strong code controls and translate code into high-level commentary
  • Understanding of and ability to leverage:
    • Cloud-based computing
    • Distributed computing

MODEL Validation & Review
  • Ability to:
    • Establish standards and best practices; forecast future modeling tools / techniques
    • Identify, employ, and evangelize emerging techniques from industry / research
    • Coach others on data modeling methods / techniques
    • Facilitate sessions for complex data models
    • Assess and understand risks; contingency plans
    • Communicate observations to senior executives
    • Translate technical observations to a non-technical audience

EXPECTED COMPETENCIES
  • Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
  • Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
  • Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
  • Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
  • Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right tie through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 07/12/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

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Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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