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Credit Risk Data Science Jobs in Baltimore, MD (NOW HIRING)

Top Stack

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Credit Manager

Baltimore, MD · On-site

$80K - $120K/yr

Analyze financial statements, cash flow, and credit risk for commercial customers. * Manage a portfolio of accounts and make credit recommendations based on financial data and third-party reporting.

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

Maintain oversight of project timelines, resource allocation, and risk management. Qualifications * 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Maintain oversight of project timelines, resource allocation, and risk management. Qualifications * 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

M&T Bank

Commercial Credit Analyst CRE

Baltimore, MD · On-site

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... Enter complete and accurate data into Bank systems in support of underwriting and portfolio ...

M&T Bank

Commercial Credit Analyst CRE

Baltimore, MD · On-site

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... Enter complete and accurate data into Bank systems in support of underwriting and portfolio ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Baltimore, MD

Credit Risk Data Science information

See Baltimore, MD salary details

$36.8K

$113.2K

$196.2K

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

As of Aug 14, 2026, the average yearly pay for credit risk data science in Baltimore, MD is $113,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $139,600.00 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 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 Baltimore, MD?

For Credit Risk Data Science jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Baltimore, MD look for?

The top searched job categories for Credit Risk Data Science jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Credit Risk Data Science jobs?

Cities near Baltimore, MD with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,157 per year, or $54.4 per hour.

Credit Manager

Top Stack

Baltimore, MD • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

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Job description

We are seeking an experienced Credit Risk Manager to oversee a portfolio of commercial accounts, evaluate credit risk, and support strategic credit decisions.
What You'll Do

  • Analyze financial statements, cash flow, and credit risk for commercial customers.
  • Manage a portfolio of accounts and make credit recommendations based on financial data and third-party reporting.
  • Present credit analyses and recommendations to senior leadership and credit committees.
  • Partner with sales teams and customer leadership to resolve credit-related matters.
  • Oversee accounts receivable collections through a direct report.
  • Manage order credit holds and support timely credit decisions.
  • Contribute to process improvements and risk management initiatives.

Qualifications

  • Bachelor's degree in Accounting, Finance, Business, or a related field preferred.
  • 3+ years of experience in commercial credit analysis or credit risk management.
  • Strong experience analyzing financial statements and assessing commercial credit risk.
  • Experience working with commercial or manufacturing-based organizations is preferred.
  • Prior leadership or supervisory experience is a plus.
  • SAP experience preferred; HighRadius experience is a plus.
  • Strong analytical, communication, and decision-making skills.

Company Description

We launched Top Stack to solve a problem in the human capital industry: Technology has replaced humanity. The business has become cold and impersonal. That’s why we’ve made it our top priority to be people-focused, with consistent, transparent, timely communication. It sounds simple because it is. We think it’s the only way to work.