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

Cymertek

Data Scientist

Annapolis Junction, MD · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 ...

Cymertek

Data Scientist

Annapolis Junction, MD · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 ...

APGFCU

Product Manager - Lending

Edgewood, MD · On-site

$91K - $155K/yr

Partner with Risk and Compliance to ensure all lending products align with regulatory requirements and credit policy. * Coordinate with Data & Analytics to build reporting and dashboards for each ...

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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 Jul 23, 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 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 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 July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,157 per year, or $54.4 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

A3 Missions, LLC

Fort George G Meade, MD • On-site

Other

Posted 15 days ago

Job description

Primary Responsibilities: Perform exploratory and diagnostic analyses to reveal trends and anomalies
Develop and test ML models for threat detection and risk scoring
Create data visualizations and analytical reports
Support data preparation, transformation, and quality assurance
Collaborate with data engineers on model operationalization
Document analytical methods and findings
Required Qualifications: Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Proficiency in Python, R, SQL
Experience with ML libraries (scikit-learn, pandas, numpy)
Data visualization skills (Matplotlib, Seaborn, Plotly)
Understanding of statistical methods and data mining
Strong analytical and problem-solving abilities
U.S Citizenship required
DoD TS clearance with ability to obtain/maintain SCI Preferred Qualifications: Data science certifications
Master's degree preferred in Data Science, Statistics, or related field (Bachelor's degree required)

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