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Remote Credit Risk Modeling Jobs in Illinois (NOW HIRING)

Adyen

Senior Credit Underwriter

Chicago, IL · On-site +1

$125K - $170K/yr

... models. * Solid familiarity and hands-on experience navigating U.S. regulatory frameworks and banking guidelines related to commercial credit risk (e.g., OCC guidelines) is highly preferred. * A ...

NinjaHoldings

Sr. Product Manager - Credit Risk

Chicago, IL · On-site +1

$130.30K - $172K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Support the technical design and implementation of decisioning models and platforms, working ...

Career Renew

Strategy and Analytics, Credit

Chicago, IL · On-site +1

$180K - $220K/yr

... models and insights from a team of top risk analysts. We proudly serve a broad array of financial ... Remote Flexibility: Work from anywhere in the US with optional office access in Austin SF NYC ...

Stripe

Risk Strategist, User Risk Strategy

Chicago, IL · On-site +1

$125.20K - $161.70K/yr

You will also provide expert guidance and analyses to help grow novel business models on Stripe (e ... AML/KYC and sanctions compliance, credit worthiness) for large, complex Financial Services deals.

Wood Plc

Water Resources Engineer - FEMA

Chicago, IL · Remote

$81.40K - $111.30K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities: * Perform hydrologic and hydraulic modeling projects as part of the Risk FEMA's Mapping, Assessment ...

DataAnnotation

Risk Analyst

Springfield, IL · Remote

$40/hr

We are looking for a Risk Analyst to join our team to train AI models. You will measure the ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

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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 the most commonly searched types of Credit Risk Modeling jobs in Illinois? The most popular types of Credit Risk Modeling jobs in Illinois are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Illinois? For Remote Credit Risk Modeling jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Illinois look for? The top searched job categories for Remote Credit Risk Modeling jobs in Illinois are:
What cities in Illinois are hiring for Remote Credit Risk Modeling jobs? Cities in Illinois with the most Remote Credit Risk Modeling job openings:
Remote Credit Risk Modeling jobs near you
Credit Risk Strategist, Risk Foundations

Credit Risk Strategist, Risk Foundations

Stripe

Chicago, IL • On-site, Remote

Full-time

Posted 14 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Risk Foundations is a small, high-leverage team with a mandate to maximize Stripe's enterprise value by managing risk across the user lifecycle. Whether we're evaluating net-new opportunity areas, investigating existential threats, or finding ways to unlock value in the existing business, we approach problems with rigor, nuance, and intellectual humility. If you are excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply!
What you'll do
Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Strategist on the Risk Foundations team, you will help manage a rapidly growing merchant portfolio by guiding Stripe's credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations.
Responsibilities
  • Develop scalable methods to identify, measure, and control end-to-end risks (including Credit and Fraud) across the user lifecycle: this will involve identifying and shaping crucial risk management systems including in-product and back-end controls, use of external risk assessment tools, and implementation of rule-based and model-based detection systems
  • Proactively identify risk management opportunities, outline the strategy and translate complex requirements into technical specifications, which may include shipping code to enable rapid iteration of risk strategy
  • Work closely with Product, Engineering, and Data Science teams to shape new product offerings and develop data-driven, globally scalable systems and processes that combine strong risk management fundamentals with seamless user experiences.
  • Become an expert on the global ecosystem of Stripe's products, integrations, tools, and partner requirements, and how those elements interact with payment risks
  • Develop strong internal relationships across partner teams (Data Science, Product, Engineering, Treasury, Sales, Operations, and Finance)
  • Challenge the payments industry status quo to help enable innovative businesses to flourish online
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • 5+ years of relevant experience with financial risk modeling
  • A builder's mindset with a willingness to question assumptions and conventional wisdom
  • Analytical: You are well versed in data analysis, modeling, and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
  • Collaborative: Ability to work effectively across teams, building strong working relationships in order to successfully execute on shared deliverables
  • Decisive, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants. You are willing to make these difficult decisions and quickly learn and iterate from these experiences.
  • Understanding and empathetic to the challenges of setting up a new business: You will thoughtfully balance scaled enforcement decisions with user experience.
  • An enthusiastic "roll up your sleeves" mentality
  • Experience with SQL required
  • Bachelor's degree in Economics, Statistics, Computer Science, Engineering or other quantitative or related field
Preferred qualifications
  • Experience with Python
  • Demonstrated experience working in fast paced highly ambiguous environments
  • Familiarity with LLM agents and how they can augment risk management practices

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