Credit Risk Data Science information
See Baltimore, MD salary details
$36.8K - $51.3K
4% of jobs
$51.3K - $65.8K
5% of jobs
$65.8K - $80.3K
14% of jobs
$81.3K is the 25th percentile. Wages below this are outliers.
$80.3K - $94.8K
21% of jobs
The median wage is $102K / yr.
$94.8K - $109.3K
11% of jobs
$109.3K - $123.8K
12% of jobs
$133.6K is the 75th percentile. Wages above this are outliers.
$123.8K - $138.3K
12% of jobs
$138.3K - $152.7K
11% of jobs
$152.7K - $167.2K
5% of jobs
$167.2K - $181.7K
4% of jobs
$181.7K - $196.2K
1% of jobs
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.
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.
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.
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?
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What job categories do people searching Credit Risk Data Science jobs in Baltimore, MD look for?
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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:
