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Remote Credit Risk Modeling Jobs in Columbus, OH

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... and credit unions. It is the responsibility of our Remote Associates to communicate with our ... Appointment-based work model. Opportunities for Growth: * Manager training program available for ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

Consumer Card Product Director

Columbus, OH · On-site +1

$125K - $255K/yr

Maintains current knowledge of risk-related credit card changes that may impact assigned area(s) of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Consumer Card Product Director

Columbus, OH · On-site +1

$125K - $255K/yr

Maintains current knowledge of risk-related credit card changes that may impact assigned area(s) of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

Showing results 41-60

Remote Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a remote credit risk modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

What is the difference between Remote Credit Risk Modeling vs Remote Credit Analyst?

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote credit risk modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What cities near Columbus, OH are hiring for Remote Credit Risk Modeling jobs? Cities near Columbus, OH with the most Remote Credit Risk Modeling job openings:
Infographic showing various Remote Credit Risk Modeling job openings in Columbus, OH as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 4% In-person, and 96% Remote job distribution.

Senior Credit Quantitative Analyst, Investment Professional

Nationwide

Columbus, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care.

The hired associate must reside within 35 miles of the following location:

Columbus: One Nationwide Plaza, Columbus OH, 43215

Work schedule: 3 days in office, 2 days remote.

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

#LI-SS1

Job Description Summary

Do you thrive in using data-driven insights to influence high-stakes investment decisions? Are you energized by building tools that amplify investment teams' ability to navigate dynamic markets? If you're looking to apply your quantitative skills in an environment that values innovation, collaboration, and continuous learning, this is the job for you!
As a Consultant, Investment Professional Quantitative Analyst, you'll deliver cutting-edge analytics solutions that directly impact portfolio performance and investment strategies across multiple asset classes. You will translate complex investment questions into streamlined, reusable tools and insights, helping to shape asset allocation, portfolio construction, and trading strategies. You'll find purpose in advancing automation and AI-enabled processes that enhance transparency, speed, and decision-making for our front-office teams.

Job Description

Key Responsibilities:

  • Partner with Portfolio Managers and analysts to shape and test investment ideas by building and maintaining analytic views, signals, and tools that help source and prioritize opportunities.

  • Support security selection and trade design through fair-value, relative-value, scenario, and contribution analysis across relevant asset classes and portfolios.

  • Enhance sizing, portfolio construction, and ongoing monitoring by developing views, optimization frameworks, dashboards, and standard analytics packs that help investment teams evaluate diversification, concentration, and performance versus expectations.

  • Conduct quantitative research on portfolio construction, asset allocation, and strategy questions, and package outputs into reusable decision-support tools rather than one-off analysis.

  • Leverage the analytics/semantic layer and approved AI tools to make research, monitoring, and reporting faster, more consistent, and easier to reuse across teams and books.

  • Collaborate with enterprise portfolio managers and front office teams to show how strategies and positions contribute to broader portfolio positioning and objectives.

  • Build reusable research, monitoring, and portfolio analytics capabilities that can be embedded into recurring investment workflows, rather than producing only one-time analysis.

  • Use approved AI-enabled tools where appropriate to accelerate research, signal generation, scenario design, monitoring, and reporting while maintaining transparency, human judgment, and clear documentation of assumptions and limitations.

  • Partner with Data, Technology, and front office teams to move high-value analytics and model outputs from prototype work into stable, repeatable decision-support workflows.

  • Contribute to an evolving research culture that values simple, usable, explainable models first, with iteration over time as business needs, data quality, and platform capabilities improve.

  • Help define data requirements, validation checks, and monitoring standards for models, signals, and decision-support tools used across portfolios and asset classes.

  • Support the development of shared analytics standards, research templates, and reusable model components that improve consistency across teams.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to leader of Investment Analytics. This is an individual contributor role..

Typical Skills and Experiences:

Education: Bachelor's degree in finance, economics, mathematics, statistics, engineering, computer science, or a related quantitative field preferred. Advanced degree and/or CFA preferred.

Experience: Typically, eight or more years' investment or quantitative experience supporting portfolio management, research, trading, or analytics in fixed income, structured products, multi-asset, or related markets. Experience applying AI/ML or AI-assisted workflow techniques to investment research, portfolio analytics, scenario analysis, or monitoring in a governed environment is preferred.

Knowledge, Abilities and Skills:

Demonstrated strong grounding in portfolio analytics, statistics, econometrics, and quantitative research methods. Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work; familiarity with platforms such as Databricks preferred. Experience translating investment questions into structured quantitative analyses, models, dashboards, and repeatable tools. Understanding of fixed income, credit, structured products, multi-asset allocation, or related investment domains, with flexibility to support different front office teams over time. Familiarity with AI-enabled research and workflow tools as transparent, human-in-the-loop decision-support capabilities. Strong analytical, problem-solving, and communication skills, with the ability to explain quantitative work clearly to PMs, analysts, and senior stakeholders. Knowledge of model documentation, explainability, monitoring, and governance expectations in an enterprise investment context. Discipline in research and coding, including version control, reproducibility, testing, and clear communication.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager's leader and Human Resource Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Exempt (Not eligible).

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage,paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.


NOTE TO EMPLOYMENT AGENCIES:

We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range. Note on Compensation for Part-Time Roles: Please be aware that the salary ranges listed below reflect full-time compensation. Actual compensation may be prorated based on the number of hours worked relative to a full-time schedule.The national salary range for Investment Professional - Quantitative Analyst - 112341 : $119,000.00-$199,000.00The expected starting salary range for Investment Professional - Quantitative Analyst - 112341 : $119,000.00-$199,000.00