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Credit Risk Data Science Jobs in Alabama (NOW HIRING)

Alabama Credit Union

Credit Analyst

Tuscaloosa, AL · On-site

Description Ensures accurate risk rating for all loans in Alabama Credit Union's lending portfolio ... the data for practical application. Proficiency in the use of a personal computer to include ...

Cintel, Inc.

Data Analyst- SharePoint

Huntsville, AL · On-site

Required : • Bachelor's degree in computer science, data science, engineering, math, statistics ... Risk Management Framework (RMF) processes and security compliance requirements • Experience ...

Cintel Inc

Data Analyst- SharePoint

Huntsville, AL · On-site

Knowledge of Risk Management Framework (RMF) processes and security compliance requirements ... Required Experience Bachelor's degree in computer science, data science, engineering, math ...

Cintel, Inc.

Data Analyst- SharePoint

Huntsville, AL · Hybrid

Knowledge of Risk Management Framework (RMF) processes and security compliance requirements ... Required Experience Bachelor's degree in computer science, data science, engineering, math ...

Cintel Inc.

Data Analyst- SharePoint

Huntsville, AL · On-site

... best practices, risk management • Develop, test, deploy and maintain SharePoint solutions ... Required Experience • Bachelor's degree in computer science, data science, engineering, math ...

ServisFirst Bank

Credit Officer

Birmingham, AL · On-site

The Credit Officer gathers and reviews financial data in order to evaluate the creditworthiness of ... risk for further approval, depending on regional management directives. The level of lending ...

ServisFirst Bank

Credit Officer

Homewood, AL · On-site

DUTIES AND RESPONSIBILITIES The Credit Officer gathers and reviews financial data in order to ... risk for further approval, depending on regional management directives. The level of lending ...

ServisFirst Bank

Credit Officer

Birmingham, AL · On-site

DUTIES AND RESPONSIBILITIES The Credit Officer gathers and reviews financial data in order to ... risk for further approval, depending on regional management directives. The level of lending ...

Deloitte

AI Data Engineer - Senior Consultant

Birmingham, AL · Hybrid

$97K - $134K/yr

... vs. risk) and document decisions. * 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security. * 4+ years of experience with treat testing ...

Deloitte

AI Data Engineer - Senior Consultant

Huntsville, AL · Hybrid

$103K - $141K/yr

... vs. risk) and document decisions. * 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security. * 4+ years of experience with treat testing ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Alabama

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 June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 20 hours ago

Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies

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