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Credit Risk Data Science Jobs in Maryland (NOW HIRING)

US Department of Commerce

Data Scientist

Suitland, MD

$143K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... You will receive credit for all qualifying experience, including volunteer. Education:Employment ...

Jobs in Your Community

Data Scientist

Suitland, MD · On-site

$143K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... You will receive credit for all qualifying experience, including volunteer. Education:Employment ...

U.S. Census Bureau

Data Scientist

Suitland, MD · On-site +1

$143K - $187K/yr

Lead advanced data science research by developing and applying analytical models, computational ... You will receive credit for all qualifying experience, including volunteer. Additional information ...

ASR Group

Regional Credit Manager

Baltimore, MD

... Credit Risk Monitor reporting services. The RCM will synthesize such external data with internal profit profile data to determine and recommend optimal credit terms and then convey those ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

Use excellent data science practices to iteratively produce high performing models * Create immediate impact through sound and practical deliveries of risk monitors * Work with engineering colleagues ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site

Use excellent data science practices to iteratively produce high performing models * Create immediate impact through sound and practical deliveries of risk monitors * Work with engineering colleagues ...

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Credit Risk Data Science information

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 Maryland? For Credit Risk Data Science jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Maryland look for? The top searched job categories for Credit Risk Data Science jobs in Maryland are:
What cities in Maryland are hiring for Credit Risk Data Science jobs? Cities in Maryland with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Data Scientist

Data Scientist

US Department of Commerce

Suitland, MD

$143K/yr

Other

Re-posted 9 days ago

U.S. Department Of Commerce rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

79th of 692 rated public administrative organizations

Job description

This vacancy is being filled via the Direct-Hire Authority (DHA) for a Data Scientist position in the Associate Director for Decennial Census Programs located at the U.S. Census Bureau Headquarters in Suitland, Maryland.
This Job Opportunity Announcement may be used to fill other Data Scientist, 1560-14, FPL GS-14 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.Qualifications:

Basic Requirements:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
  1. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
AND
MINIMUM QUALIFICATIONS: GS-14
Specialized Experience: For the GS-14, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS13 in the Federal service. Experience for this position includes: Designing, developing, and adapting mathematical, computer science, statistical, and data science methods and techniques to organizational processes; Providing guidance on the effective use of applications, data management, visualization tools, and emerging technologies in support of agency programs; Providing data science leadership in the development, analysis, and implementation of data programs; Providing expert guidance and overseeing policies and standards related to the development and use of data science tools and methods.
EDUCATION
A degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer.


Education:Employment Type: OTHER

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