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Credit Risk Data Science Jobs in Rosemont, IL (NOW HIRING)

CIBC

Credit Monitoring & Control Specialist

Chicago, IL · On-site

$70K - $85K/yr

Conduct quarterly/monthly reviews of one or more key Credit Risk data elements. * Provide support to other functions within the Credit Risk Management/ Risk Analytics Department. * Solve a range of ...

PayPal

Sr Data Scientist

Chicago, IL

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Work closely with Stakeholders: this includes Credit Risk, Product,finance teams to optimize fraud ...

CIBC US

Credit Monitoring & Control Specialist

Chicago, IL · Hybrid

$70K - $85K/yr

Conduct quarterly/monthly reviews of one or more key Credit Risk data elements. * Provide support to other functions within the Credit Risk Management/ Risk Analytics Department. * Solve a range of ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. • ...

CIBC

Credit Monitoring & Control Specialist

Chicago, IL · Hybrid

$70K - $85K/yr

Conduct quarterly/monthly reviews of one or more key Credit Risk data elements. * Provide support to other functions within the Credit Risk Management/ Risk Analytics Department. * Solve a range of ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Rosemont, IL

Credit Risk Data Science information

See Rosemont, IL salary details

$37.3K

$114.8K

$199K

How much do credit risk data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for credit risk data science in Rosemont, IL is $114,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $141,600.00 per year, depending on experience, location, and employer.

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

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

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Rosemont, IL? For Credit Risk Data Science jobs in Rosemont, IL, the most frequently searched job titles are:
What cities near Rosemont, IL are hiring for Credit Risk Data Science jobs? Cities near Rosemont, IL with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Credit Monitoring & Control Specialist

Credit Monitoring & Control Specialist

CIBC

Chicago, IL • On-site

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
To learn more about CIBC, please visit CIBC.com
POSITION RESPONSIBILITIES:
The Credit Monitoring & Control Specialist will support the Bank's Credit Risk Management/ Risk Analytics Departments, to help analyze, identify, mitigate and control data integrity risk across numerous data elements.
This position is a key role in the Bank's Risk Management Department and reports to the Credit Monitoring & Control Team Lead. Review both traditional and complex credit approval documents (credit underwriting/ loan presentations) for the purpose of:
  • Ensuring proposed loans structures are in compliance with the Bank's credit policy
  • Provide ongoing support to promote portfolio transparency
  • Ensure Quarter End risk reporting processes are done efficiently and accurately; Determining proper note code, collateral code and federal call code for each transaction to ensure accurate reporting to internal and external audiences.
  • Conduct quarterly/monthly reviews of one or more key Credit Risk data elements.
  • Provide support to other functions within the Credit Risk Management/ Risk Analytics Department.
  • Solve a range of straightforward problems.
  • Analyze possible solutions using standard procedures.
  • Participate/lead in projects associated with the department.

QUALIFICATIONS:
  • Knowledgeable in credit approval process, credit structure and ability to comprehend the Bank's credit policy
  • Familiarity with Federal Call Codes and other related loan codes and the awareness of how loan codes impact financial reporting
  • Experience leading risk and control assessments, root cause analysis and scenario analysis.
  • Ability to partner effectively with peers, senior management and business partners
  • Organizational and problem solving skills and attention to detail.
  • Investigative and questioning nature combined with sound business and technical skills.
  • Ability to work under pressure and organize, manage and prioritize multiple deliverables.
  • Strong critical thinking abilities
  • Proficiency in Microsoft Excel, Outlook and Word required, including analytical skills and spreadsheet experience
  • Excellent oral and written communication skills, as well as the ability to present to senior management
  • Have the ability to work independently and within a team
  • Bachelor's degree along with 7-10 years of experience of credit risk, compliance, or audit/ SOX experience in a banking/financial services environment.

At CIBC, we offer a competitive total rewards package. This role has an expected salary range of $70,000 - $85,000 for the market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee's needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members.
Work Environment: Hybrid, 3 days in office, 2 days remote
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions
What you need to know
  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
  • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location
IL-120 S LaSalle St
Employment Type
Regular
Weekly Hours
40
Skills
Analytical Thinking, Business Requirements, Communication, Credit Processes, Data Quality, Prioritization, Quality Improvement, Risk Analytics, Risk Reporting

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