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Credit Risk Data Science Jobs in Alabama (NOW HIRING)

Avion Solutions

Risk Manager

Huntsville, AL · On-site

Maintain and update risk data within the Active Risk Manager (ARM) tool and ensure accurate ... Bachelor's Degree in Engineering, Computer Science, or a related field (or equivalent professional ...

KODA Technologies, Inc.

Risk Manager

Huntsville, AL · On-site

Maintain and update risk data within the Active Risk Manager (ARM) tool and ensure accurate ... Bachelor's Degree in Engineering, Computer Science, or a related field (or equivalent professional ...

KODA Technologies Inc.

Risk Manager

Huntsville, AL · On-site

Maintain and update risk data within the Active Risk Manager (ARM) tool and ensure accurate ... Bachelor's Degree in Engineering, Computer Science, or a related field (or equivalent professional ...

i3

Risk Manager

Huntsville, AL

Maintain and update risk data within the Active Risk Manager (ARM) tool and ensure accurate ... Bachelor's Degree in Engineering, Computer Science, or a related field (or equivalent professional ...

Synovus

Credit Advisor - USDA UW

Montgomery, AL · On-site +1

Spreads financial statements and works with Dual Risk Rating team. Conducts research to determine credit quality, character and soundness including analysis of extensive statistical data and ...

Starfish

Engineering Risk Manager

Huntsville, AL

Maintain and update risk data within the Active Risk Manager (ARM) tool and ensure accurate ... S. Citizenship * Bachelor's Degree in Engineering, Computer Science, or a related field (or ...

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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 Alabama? For Credit Risk Data Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Alabama look for? The top searched job categories for Credit Risk Data Science jobs in Alabama are:
What cities in Alabama are hiring for Credit Risk Data Science jobs? Cities in Alabama 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 Alabama as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Heersink School of Medicine-Instructor (Data Science)

Heersink School of Medicine-Instructor (Data Science)

The University of Alabama at Birmingham

Birmingham, AL • On-site

Full-time

Posted 15 days ago

University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

214th of 534 rated colleges and universities

Job description

Posting Details
Position Information
School/College
School of Medicine
Title
Heersink School of Medicine-Instructor (Data Science)
Assignment Category
Full-Time
Rank
Instructor
Tenure Status
Non-Tenure Track
Payroll Status
Faculty 12
Job Description
We are seeking a highly motivated and skilled Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve creating a team of PhD students, Post-Doctoral Fellows, and junior faculty.
Initial Responsibilities:
  1. Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization, predictive analytics, data warehousing, artificial intelligence, and other complex methods.
  2. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI.
  3. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients.
  4. Mentorship: Mentor and train junior staff, faculty, and trainees, fostering a collaborative and educational environment.
  5. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes.
  6. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in understanding published research.
  7. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration.

Transitioning Responsibilities:
  1. Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team.
  2. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing guidance and leadership in their research endeavors.
  3. Research Direction: Set the research agenda for the waveform lab, focusing on innovative applications of data science in anesthesiology.
  4. Funding and Grants: Secure funding through grants and other sources to support the lab's research activities.
  5. Collaboration Expansion: Expand collaborative efforts with other departments and institutions to enhance research output and impact.
  6. Academic Contributions: Contribute to the academic mission of the department through teaching, publishing research, and participating in academic conferences.

Required Qualifications
  1. PhD in Mathematics, Science, Data Science, Computer Science, Statistics, or a related field.
  2. Strong background in advanced data analysis techniques, including artificial intelligence, machine learning, data mining, and predictive analytics.
  3. Experience with large, unstructured data sources and the development of analytical tools and models.
  4. Proven track record of research and publication in relevant fields.
  5. Excellent communication skills, with the ability to present complex findings to diverse audiences.
  6. Experience in mentoring and training junior staff or students.
  7. Ability to work collaboratively across departments and with external partners.

Preferred Qualifications
  • Experience in healthcare data science, particularly in anesthesiology or a related medical field.
  • Prior experience in leading research teams or labs.
  • Demonstrated success in securing research funding.

Posting Detail Information
Posting Number
F2666P
Open Date
06/27/2025
Close Date
Open Until Filled
No
Nondiscrimination Statement
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, religion, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Special Instructions to Applicants
Pre-employment Background Check
A pre-employment background check investigation is performed on candidates selected for employment.
Drug/Nicotine Screen (if applicable)
About University of Alabama at Birmingham
To learn more about the University of Alabama at Birmingham click here.

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About University of Alabama at Birmingham

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The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859

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