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Remote Credit Risk Modeling Jobs in Columbus, OH

Provide Credit risk analysis review and executive summary of new and existing complex customers ... Otherwise, fully remote. Anticipated salary range: $67,500 - $96,300 Bonus eligible: No Benefits:

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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.

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 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.

What are popular job titles related to Remote Credit Risk Modeling jobs in Columbus, OH? For Remote Credit Risk Modeling jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Columbus, OH look for? The top searched job categories for Remote Credit Risk Modeling jobs in Columbus, OH are:
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Vice President, Data Scientist - Credit Risk, Risk Insights - Chase 360

Vice President, Data Scientist - Credit Risk, Risk Insights - Chase 360

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 6 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join a high-impact team shaping credit strategy across consumer and small business lending at JPMorganChase. Leverage Chase's crosslineofbusiness data and your advanced analytics skills to surface emerging risks, guide portfolio decisions, and protect customers through cycles. You'll operate at the intersection of data science, macro insights, and credit risk, presenting timely intelligence to senior CCB (Consumer and Community Bank) Risk leaders. If you thrive in dynamic environments and love turning complex data into clear actions, this role is for you.

As a Vice President, Data Scientist in the Chase 360 Payment Analytics team within CCB Risk Insights, you will leverage crossLOB customer data to generate insights on consumer and smallbusiness health, inform and influence credit strategy, and build attributes that power credit models and decisions. You will own endtoend analytical work-from data engineering and feature development to modeling, interpretation, and executive storytelling-delivering timely, highimpact insights and dashboards that influence strategic choices across Card, Auto, Home Lending, and Business Banking. You will independently research emerging risks, synthesize external publications and data releases, and partner across Chase 360 to drive scalable solutions and measurable business outcomes.

Job Responsibilities:

  • Generate timely insights on consumer and smallbusiness health using crossLOB data to identify, quantify, and monitor emerging credit risks.
  • Inform and influence credit strategies across Card, Auto, Home Lending, and Business Banking with datadriven recommendations and scenario analysis.
  • Engineer and maintain highquality attributes/features to support credit models, segmentation, and policy execution.
  • Design and execute advanced analytics (e.g., risk segmentation, earlywarning signals, stress indicators) to track portfolio trends and headwinds.
  • Build and automate dashboards and recurring reports that translate complex analytics into clear, actionable leadership narratives.
  • Conduct independent research on macro, industry, and payment trends; connect external developments to portfolio risks and opportunities.
  • Analyze peer publications and public data releases to produce differentiated viewpoints for CCB Risk leadership.
  • Partner with data engineering, model, and product teams to operationalize insights and ensure scalability, resiliency, and governance.
  • Manage crossfunctional projects endtoend, aligning stakeholders, defining milestones, and delivering on time in a fastpaced environment.
  • Communicate findings to technical and nontechnical audiences, using crisp narratives, visuals, and executiveready materials.
  • Champion best practices in code quality, reproducibility, and model/metric documentation to elevate team capabilities.

Required Qualifications, Capabilities, and Skills:

  • Advanced degree (MS preferred) in statistics, econometrics, or related quantitative field with minimum 7 years in risk management or quantitative roles; or BS with minimum 8 years relevant experience.
  • Experience in consumer financial services with a focus on credit risk analytics and portfolio monitoring across the credit lifecycle.
  • Strong Python proficiency (data wrangling, modeling, visualization, automation) and productiongrade code practices.
  • Advanced SQL skills with proven ability to query, transform, and QC large, complex datasets from multiple sources.
  • Demonstrated ability to build, maintain, and validate attributes/features for credit models and strategy execution.
  • Track record of delivering timecritical analytical reports/dashboards to senior stakeholders with clear, actionable insights.
  • Strong quantitative problemsolving, hypothesisdriven analysis, and experimental design skills.
  • Excellent communication skills, translating technical analyses into concise recommendations for leadership.
  • Selfstarter with ownership mindset; proven ability to drive ambiguous problems to scalable solutions under tight timelines.
  • Familiarity with integrating external data/publications and macro trends into credit risk assessments.
  • Project management experience leading crossfunctional initiatives from scoping through delivery and adoption.

Preferred Qualifications, Capabilities, and Skills:

  • Experience with payments data, spend behaviors, and earlywarning indicators tied to consumer and smallbusiness health.
  • Knowledge of credit risk modeling techniques and performance monitoring.
  • Proficiency with data visualization/BI tools (e.g., Tableau, Power BI) for automated reporting.
  • Familiarity with cloud data platforms and distributed computing (e.g., AWS, Spark) for largescale analytics.
  • Experience partnering across business lines and risk functions to align strategies and implement analytics at scale.
  • Strong sense of learning agility-comfort quickly adopting new tools, methods, and business concepts.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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