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Credit Risk Monitor Jobs in Romeoville, IL (NOW HIRING)

INEOS Styrolution

Senior Credit Analyst

Naperville, IL · On-site

Monitor market, country, and customer trends and collaborate with regional credit teams to identify emerging risk patterns * Ensure accurate SAP credit data and manage credit-related order blocks (e ...

TOPS Products

Credit & Collections Analyst

Naperville, IL · On-site

$25.91 - $34.50/hr

Credit & Collections Analyst Position Summary The Credit & Collections Analyst is responsible for ... Monitor customer accounts for changes in risk profile and recommend appropriate actions Accounts ...

Adyen

Senior Credit Underwriter

Chicago, IL · On-site +1

$125K - $170K/yr

Drive the continuous improvement of global and US-specific credit risk underwriting and monitoring frameworks, ensuring alignment with Adyen's defined risk appetite and strategic objectives.

Adyen

Senior Credit Underwriter

Chicago, IL · On-site

$125K - $170K/yr

Drive the continuous improvement of global and US-specific credit risk underwriting and monitoring frameworks, ensuring alignment with Adyen's defined risk appetite and strategic objectives.

Busey

Credit Monitoring Analyst III

Burr Ridge, IL · Hybrid

$80K - $114K/yr

Position Summary The Credit Monitoring Analyst III supports the commercial credit monitoring and ... Make independent recommendations regarding credit risk supported by comprehensive ongoing risk ...

Servbank

Senior Commercial Credit Underwriter

Oswego, IL · On-site

$82K - $96K/yr

Industry, borrower, and guarantor risk assessment * Identify and document policy exceptions ... Monitor portfolio performance and covenant compliance, as assigned * Ensure adherence to all ...

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Credit Risk Monitor information

See Romeoville, IL salary details

$88.2K

$161.4K

$244.2K

How much do credit risk monitor jobs pay per year?

As of Jun 18, 2026, the average yearly pay for credit risk monitor in Romeoville, IL is $161,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $181,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Credit Risk Monitors in their day-to-day work?

Credit Risk Monitors often contend with the challenge of evaluating complex financial data from multiple sources to assess a borrower's creditworthiness. They must stay updated on changing market conditions and regulatory requirements, which can impact risk assessments. Another frequent challenge is balancing the need for thorough analysis with tight reporting deadlines. Collaboration with other departments, such as loan officers and compliance teams, is essential for obtaining accurate information and ensuring company policies are followed.

Is risk analyst a high paying job?

A risk analyst, including credit risk monitor roles, typically earns a competitive salary that varies by industry, experience, and location. Entry-level positions may start lower, but experienced risk analysts with specialized skills and certifications can earn higher wages, often comparable to other finance and risk management roles.

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

To thrive as a Credit Risk Monitor, you need strong analytical skills, financial acumen, and a background in finance, accounting, or economics, often supported by a relevant degree. Familiarity with risk assessment tools, credit scoring models, and platforms such as Moody’s Analytics or S&P Global Market Intelligence is typically required. Attention to detail, effective communication, and sound judgment help in interpreting data and conveying risk findings to stakeholders. These skills are essential to accurately evaluate creditworthiness and support informed decision-making that protects organizational assets.

How much do credit risk analysts earn?

Credit risk analysts typically earn a median annual salary ranging from $60,000 to $85,000, depending on experience, location, and industry. Entry-level analysts may start at lower salaries, while experienced professionals with certifications can earn over $100,000 annually. The role often requires strong analytical skills and familiarity with financial modeling tools.

What is a Credit Risk Analyst's salary?

A Credit Risk Analyst's salary typically ranges from $55,000 to $85,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, often supplemented with bonuses and benefits.

What is a Credit Risk Monitor?

A Credit Risk Monitor is a professional responsible for analyzing and assessing the credit risk associated with lending or extending credit to individuals or organizations. They monitor financial statements, payment histories, and market trends to evaluate the likelihood of default. Credit Risk Monitors help financial institutions and businesses minimize losses by providing recommendations on credit limits, terms, and risk mitigation strategies. Their work is essential for maintaining the financial health and stability of organizations that rely on credit transactions.

What are the 5 C's of credit risk?

The 5 C's of credit risk—used by credit risk monitors—are Character, Capacity, Capital, Collateral, and Conditions. These factors help assess a borrower's ability and willingness to repay a loan and are fundamental in credit analysis. Understanding these elements is essential for evaluating creditworthiness and managing risk effectively.

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

AspectCredit Risk MonitorCredit Analyst
Required credentialsTypically requires finance, economics, or related degrees; certifications like CFA are a plusSimilar educational background; certifications like CFA or CPA can be advantageous
Work environmentFinancial services, credit risk assessment, often in corporate or agency settingsBanking, lending institutions, or corporate finance departments
Employer and industry usageUsed by credit rating agencies, financial institutions, and risk management firmsCommon in banks, investment firms, and credit departments

While both roles involve financial analysis and risk assessment, Credit Risk Monitors focus on monitoring and analyzing credit risks at a broader level, often involving data aggregation and industry trend analysis. Credit Analysts typically evaluate individual creditworthiness of clients or companies to inform lending decisions. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Credit Risk Monitor jobs in Romeoville, IL? For Credit Risk Monitor jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Credit Risk Monitor jobs in Romeoville, IL look for? The top searched job categories for Credit Risk Monitor jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Credit Risk Monitor jobs? Cities near Romeoville, IL with the most Credit Risk Monitor job openings:
Credit Risk Monitor jobs near you
Integration and Automation Leader - Credit Risk Modeling

Integration and Automation Leader - Credit Risk Modeling

US Bank

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

38th of 141 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

We are looking for a strategic and results-driven quantitative leader to lead partnering with technology and lead automation initiatives within the Credit Risk Model Operations and Strategy team, as part of the Model Development and Decision Science (MDDS) organization. This role will focus on redesigning and optimizing key processes across the model lifecycle-including implementation, production, and performance monitoring-as we migrate from SAS to Azure Databricks and Python.

About the CRA Team

We are a highly dynamic and talented team which delivers on our mission through four pillars: Customer, Process, Talent, and Data.

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers.

Mission | We deliver data-driven information solutions to protect our stakeholders and inform the most significant financial decisions in the bank.

Values | In addition to U.S. Bank core values, we prioritize collaboration, integrity, simplicity, and continuous learning.

About the Role

We are seeking a strategic and technically skilled leader to partner with technology and drive automation within the Credit Risk Model Development and Decision Science (MDDS) team. This role will focus on enhancing model production, model monitoring, model implementation, reporting, and documentation capabilities through the development and maintenance of reusable code libraries, robust data source connections, containerized environments, testing and execution pipelines. The leader will also lead evaluation, selection, onboarding, and lifecycle maintenance of any third-party tools and platforms leveraged by the Credit Risk Model Development and Decision Science (MDDS) team. You will be responsible for designing systems and processes for model development, production, monitoring, and implementation. The models support loan portfolio stress testing (CCAR), the allowance for credit losses (ACL / CECL), counterparty risk, and commercial risk rating scorecards. The ideal candidate will have hands-on experience in system design, a strong foundation in data science, and proficiency in quantitative programming languages.

Key Activities

This role centers on helping our team migrate our model infrastructure from SAS to Azure Databricks and Python. The emphasis is on building strong architectural foundations that support repeatable processes, improve efficiency, and facilitate automation. This role will partner with technology to lead the selection, onboarding, and maintenance of technology tools and platforms used in model operations and redesigning processes to be modular, scalable, and well-controlled.

The processes in scope for this role include:

  • Model development - build repeatable, standardized processes and tools for model development.

  • Implementation - scalable tools to onboard models into production.

  • Production - platforms for executing models for core production purposes.

  • Monitoring - automated systems to track and assess model performance.

  • Reporting - integrations and pipelines for dashboards and formatted output delivery.

Core Competencies:

  • Strong understanding of technology including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools particularly in support of modeling /quantitative platforms.

  • Exceptional leadership skills and ability to drive initiatives that span multiple teams and stakeholders.

  • A mindset for collaboration, customer centricity, and risk management.

  • Experience with risk modeling and data at large regulated financial institutions.

  • Familiarity with AI-driven tools and automation platforms (e.g., Microsoft Copilot, Microsoft Power Platform) to streamline data operations and accelerate data delivery.

Innovation & Automation Leadership

  • Design, build, and maintain reusable code libraries and frameworks to support model development, implementation, production and monitoring activities.

  • Partner with technology to lead the selection, onboarding, and maintenance of technology tools and platforms used in model operations.

  • Develop and manage automated data pipelines and containerized environments (e.g., Docker, Kubernetes) for scalable data processing, model operations.

  • Implement orchestration tools (e.g., Apache Airflow) to streamline model operations workflows, reporting, and documentation.

Training & Enablement

  • Develop and deliver onboarding programs for new team members, focusing on tooling, infrastructure, and best practices.

  • Provide ongoing training and support to ensure effective use of automation tools and libraries.

  • Foster a culture of continuous learning and innovation within the team.

Stakeholder Engagement

  • Partner with model developers and model operations to assess and meet their technological needs in a timely and effective manner.

  • Contribute to reporting and presentations for senior management and risk committees.

Basic Qualifications

  • Bachelor's degree in a quantitative field, and 10 or more years of relevant experience
    OR

  • MA/MS in a quantitative field, and six or more years of related experience
    OR

  • PhD in a quantitative field, and five or more years of related experience


Preferred Skills/Experience

  • Object-oriented python programming

  • Databricks experience required in model development, model production, and/or model monitoring.

  • Relational databases, SQL query optimization

  • Code management and version control using Git

  • AI/ML and generative AI approaches

  • Strong project management and organizational skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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