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

C&I Credit Analyst II or III

Buffalo, NY · On-site

$61K - $110K/yr

Credit Analyst II or III will be determined based on the candidates knowledge and experience ... Effectively analyze financial statements and related data, industry risk, loan structure and market ...

New

CRMS - Credit Risk Administration Entry-Level CRMS offers developing professional roles that ... Troubleshoot and provide resolution of underlying causes of data inquiries * Timely management ...

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

Portfolio Manager II or III

Buffalo, NY · On-site

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

CRE Portfolio Manager II or III

Buffalo, NY · On-site +1

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

Portfolio Manager II or III

Buffalo, NY · On-site +1

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

Portfolio Manager II or III

Buffalo, NY · On-site

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

Credit Lead

Buffalo, NY · On-site

$70K - $83K/yr

Perform quarterly analyses of Credit Risk Assessment system to confirm adequate security amounts ... Evaluate vendor creditworthiness by analyzing relevant financial data and preparing reports for ...

Showing results 41-60

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 Aug 16, 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 skills and qualifications are needed to thrive as a credit risk data scientist?

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:

C&I Credit Analyst II or III

Northwest Bank

Buffalo, NY • On-site

$61K - $110K/yr

Other

Posted yesterday

New


Job description

IN0534 Fishers, NY0705 NY Region Business Office, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0186 Mount Joy, PA0220 Erie - 8th & State, PA0258 Bellevue, PA0725 State College Business Office, PA0736 Administration Center

Job Description

The Credit Analyst is responsible for performing financial statement spreading, underwriting and credit analysis to support commercial lending and commercial loan portfolio management activities. The Credit Analyst II will be focused on completing credit memos representing new money requests to new and existing Borrowers. The Credit Analyst may also support the Portfolio Management team by completing annual reviews, renewals, change memos and modifications.

Credit Analyst II or III will be determined based on the candidates knowledge and experience.

Essential Functions

  • Prepare timely, high quality credit analysis and recommendations that accurately and thoroughly evaluate the strengths and weaknesses associated with credit actions.

  • Engage in the Opportunity Memo process, assessing the strengths and weaknesses of credits and finalizing Opportunity Memos for presentation. Actively participate on OM calls.

  • Effectively analyze financial statements and related data, industry risk, loan structure and market conditions to assess the overall creditworthiness and repayment ability of borrowers.

  • Utilize financial spreading software as well as other financial analysis tools to evaluate borrower's cash flow and determine adequacy of the borrower's primary and secondary repayment sources.

  • Conduct underwriting, identify credit risks, analyze repayment capacity and prepare collateral coverage and present in a narrative format within credit memos or modifications to support requests for new money, renewals, annual reviews and modifications.

  • Work within the guidance of the credit approval team to recommend appropriate credit structuring, documentation, and risk controls on credit requests.

  • Assist in determining the appropriate level of underwriting and due diligence for the credit's risk profile

  • Complete underwriting tasks within expected service level and turnaround times.

  • Participate in business calls with commercial lending and credit administration teams.

  • Maintain a working knowledge of macroeconomic issues in local markets and regional industries

  • Maintain data integrity with the underwriting platform to ensure accurate record of credit relationships.

  • Responsible for all compliance and audit-related matters in area of responsibility

  • Remain current on all banking rules and regulations relating to Credit Administration, Commercial Lending and Appraisals

  • Identify policy exceptions for credit requests consistent with the Bank's Commercial Credit Policy.

  • Monitor, develop, and suggest revisions to workflows and procedures as necessary to enhance efficiency and minimize expenses

  • Identify potential for credit losses and mitigate risk appropriately

  • Utilize risk rating models to accurately determine risk ratings for credit requests.

  • Prioritize assignments with guidance from the Commercial Credit Managers.

  • Evaluate the financial condition of guarantors through the effective analysis of personal financial statements and personal tax returns.

  • Perform loan covenant testing calculations and update covenant compliance records

  • Complete education, as identified or assigned, provides expertise in loan underwriting, loan structuring, and overall professional development.

  • Develop business writing and professional communication skills.

  • Review loan documentation to confirm accuracy.

  • Perform other related duties and/or projects as assigned.

  • Serve, when requested, on special teams and projects

  • Provide educational training and support for new analysts

  • Ensure compliance with Northwest's policies and procedures, and Federal/State regulations

  • Navigate Microsoft Office Software, computer applications, and software specific to the department to maximize technology tools and gain efficiency

  • Work as part of a team

  • Work with on-site equipment

Education and Experience

  • Bachelor's degree in business administration, management, accounting, finance or other related discipline

  • 3 - 5 years relevant commercial lending or credit administration experience, specifically related to C&I lending

  • Formal credit training a plus

The pay range for this position is generally $61,500 to $110,000 annually plus bonus. Actual pay is based on various factors including but not limited to the successful candidate's experience, skills, and knowledge.

This position is onsite Monday - Thursday. Fridays are an optional work from home day.

Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.