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Freelance Credit Risk Modeling Jobs in Ohio (NOW HIRING)

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

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Freelance Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Freelance Credit Risk Modeler, and why are they important?

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

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

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

What are the most commonly searched types of Credit Risk Modeling jobs in Ohio? The most popular types of Credit Risk Modeling jobs in Ohio are:
What are popular job titles related to Freelance Credit Risk Modeling jobs in Ohio? For Freelance Credit Risk Modeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in Ohio look for? The top searched job categories for Freelance Credit Risk Modeling jobs in Ohio are:
What cities in Ohio are hiring for Freelance Credit Risk Modeling jobs? Cities in Ohio with the most Freelance Credit Risk Modeling job openings:
Vice President, Data Scientist - Credit Risk, Risk Insights - Chase 360

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

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 7 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

45th 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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