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Credit Risk Data Science Jobs in Buffalo, NY (NOW HIRING)

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... data. Determine the need for more thorough investigation or additional information. * Analyze ...

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... data. Determine the need for more thorough investigation or additional information. * Analyze ...

Manager, Risk Strategy

Irving, NY ยท On-site

$110K - $150K/yr

A Bachelor's degree in a quantitative field such as statistics, econometrics, decision sciences, or ... credit analysis, including experience with data visualization tools such as Tableau/ Power BI

Business Analytics Sr Associate

Amherst, NY ยท On-site

$80K - $150K/yr

Analyzed credit bureau and risk data to support decisioning strategies and optimize portfolio performance. * Identified business needs proactively and recommended data-driven process improvements.

Master's degree (or foreign equivalent) in Applied Mathematics, Computing, Data Science, Materials Science, or related STEM field of study plus three (3) years of experience as a Model Risk Analyst ...

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Credit Risk Data Science information

See Buffalo, NY salary details

$35.8K

$110.3K

$191.3K

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

As of Jul 26, 2026, the average yearly pay for credit risk data science in Buffalo, NY is $110,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $136,100.00 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 Buffalo, NY? For Credit Risk Data Science jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Buffalo, NY look for? The top searched job categories for Credit Risk Data Science jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Credit Risk Data Science jobs? Cities near Buffalo, NY with the most Credit Risk Data Science job openings:
Intermediate Associate Credit Maintenance Analyst

Intermediate Associate Credit Maintenance Analyst

Citigroup, Inc.

Getzville, NY โ€ข On-site

$55K - $77K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

CRMS - Credit Risk Administration
The Credit Risk Management Services (CRMS) team offers entry-level opportunities for professionals to apply analytical thinking, attention to detail, and an understanding of credit risk processes. This role supports the review and verification of credit documentation and data while ensuring adherence to industry standards and departmental procedures. Team members collaborate closely with internal partners to achieve organizational objectives and are expected to demonstrate strong communication, judgment, and diplomacy when handling sensitive or complex information.
Key Responsibilities:
  • Apply departmental policies and procedures with sound judgment to complete assigned tasks accurately.
  • Review approved credit packages to create and maintain credit records.
  • Troubleshoot and resolve issues related to data discrepancies and inquiries.
  • Manage, escalate, and resolve requests and issues related to departmental operations in a timely manner.
  • Participate in projects and user testing related to system or process enhancements.
  • Identify workflow gaps and contribute suggestions to improve efficiency.
  • Understand and support how CRMS functions integrate with other departments.
  • Assist with training and provide process guidance to backup or support specialists.

Qualifications:
  • 1-2 years of relevant experience in reviewing credit documentation, knowledge of policies, guidelines, and procedures surrounding extensions of credit.
  • Knowledge of Institutional Lending and Credit products, experience in risk data management
  • Strong attention to detail and accuracy.
  • Proven ability to multitask and manage time effectively in a fast-paced environment.
  • Strong organizational, problem-solving, and research skills.
  • Ability to work independently and collaboratively as part of a team.
  • Consistently demonstrates clear and concise written and verbal communication
  • Familiarity with financial and banking products.
  • Bachelor's or University degree

Job Family Group:
Operations - Services
Job Family:
Credit Maintenance
Time Type:
Full time
Primary Location:
Getzville New York United States
Primary Location Full Time Salary Range:
$55,440.00 - $77,360.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 26, 2025
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.