... Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing ...
... Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing ...
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
... Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing ...
... Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Create descriptive, predictive, and prescriptive models and insights to drive impact across the ...
Credit Risk Machine Learning Modeling Lead (AVP) Norfolk, Virginia, United States About the Job Credit Risk Machine Learning Modeling Lead (AVP) Role: AVP Location: Norfolk, VA, US (Hybrid, 2-3 days ...
Credit Risk Machine Learning Modeling Lead (AVP) Norfolk, Virginia, United States About the Job Credit Risk Machine Learning Modeling Lead (AVP) Role: AVP Location: Norfolk, VA, US (Hybrid, 2-3 days ...
Manager, Credit Risk
Sterling, VA · On-site
What You'll Contribute The Manager, Credit Risk serves as a key leader within the Second Line of ... Collaborate with Compliance, Model Risk Management, Operational Risk, and Internal Audit to ensure ...
Manager, Credit Risk
Sterling, VA · On-site
What You'll Contribute The Manager, Credit Risk serves as a key leader within the Second Line of ... Collaborate with Compliance, Model Risk Management, Operational Risk, and Internal Audit to ensure ...
Evaluate and recommend segmentation schemes, such as Risk, Channel, Product, Channel and Ability to Pay. * Derive recommended initial credit limit based on cash flow valuation model economics ...
Evaluate and recommend segmentation schemes, such as Risk, Channel, Product, Channel and Ability to Pay. * Derive recommended initial credit limit based on cash flow valuation model economics ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk ... Senior Lead- Portfolio Credit Risk, an influential leader at Freddie Mac, you will: * Analyze ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk ... Senior Lead- Portfolio Credit Risk, an influential leader at Freddie Mac, you will: * Analyze ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk ... Senior Lead- Portfolio Credit Risk, an influential leader at Freddie Mac, you will: * Analyze ...
You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk ... Senior Lead- Portfolio Credit Risk, an influential leader at Freddie Mac, you will: * Analyze ...
Minimum of eight (8) years' experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry. * Minimum of three (3) years of supervisory / assistant ...
Minimum of eight (8) years' experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry. * Minimum of three (3) years of supervisory / assistant ...
Partner with the Data Science team to translate policy intent into model inputs, scorecard ... credit risk analysis, credit policy, or a closely related function within consumer or small ...
Partner with the Data Science team to translate policy intent into model inputs, scorecard ... credit risk analysis, credit policy, or a closely related function within consumer or small ...
Partner with the Data Science team to translate policy intent into model inputs, scorecard ... credit risk analysis, credit policy, or a closely related function within consumer or small ...
Partner with the Data Science team to translate policy intent into model inputs, scorecard ... credit risk analysis, credit policy, or a closely related function within consumer or small ...
Credit Risk Modeling * Develop and manage credit risk modeling infrastructure to drive the successful rollout of new credit risk processes * Coordinate with Deal Desk, Accounting, FP&A, and ...
Quick apply
Credit Risk Modeling * Develop and manage credit risk modeling infrastructure to drive the successful rollout of new credit risk processes * Coordinate with Deal Desk, Accounting, FP&A, and ...
Professional - Counterparty Risk Management
Mclean, VA · On-site
$96K - $144K/yr
... credit risk across multiple portfolios. The role works closely with ALM, Cash Window, Retained ... Act as primary user and model business owner for counterparty exposure models, including both ...
Professional - Counterparty Risk Management
Mclean, VA · On-site
$96K - $144K/yr
... credit risk across multiple portfolios. The role works closely with ALM, Cash Window, Retained ... Act as primary user and model business owner for counterparty exposure models, including both ...
... risk ratings for a portfolio of commercial credits. Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. * Prepare ...
... risk ratings for a portfolio of commercial credits. Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. * Prepare ...
... risk ratings for a portfolio of commercial credits. Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. * Prepare ...
... risk ratings for a portfolio of commercial credits. Spread financial statements and prepare financial models designed to sensitize various conditions impacting the proposed transaction. * Prepare ...
Hourly Credit Risk Modeling information
What are the key skills and qualifications needed to thrive as an Hourly Credit Risk Modeler, and why are they important?
To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.
How does an Hourly Credit Risk Modeling professional typically collaborate with other departments within a financial institution?
Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.
What is hourly credit risk modeling?
Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.
What is the difference between Hourly Credit Risk Modeling vs Credit Analyst?
| Aspect | Hourly Credit Risk Modeling | Credit Analyst |
|---|---|---|
| Primary Focus | Developing and implementing credit risk models to assess borrower risk | Analyzing credit data to evaluate creditworthiness of individuals or companies |
| Required Skills | Statistical analysis, modeling, programming, financial analysis | Financial analysis, credit report review, communication skills |
| Work Environment | Financial institutions, consulting firms, often project-based | Banks, lending institutions, credit departments |
| Certifications | Often requires CFA, FRM, or similar certifications | Typically requires finance or accounting degrees; certifications like CFA are common |
Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.
What are the most commonly searched types of Credit Risk Modeling jobs in Virginia? The most popular types of Credit Risk Modeling jobs in Virginia are:
What cities in Virginia are hiring for Hourly Credit Risk Modeling jobs? Cities in Virginia with the most Hourly Credit Risk Modeling job openings:
Full-time
Posted 5 days ago
Navy Federal Credit Union rating
8.1
Based on 262 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
Job Summary:
Navy Federal Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing data to support decision-making, and collaborating with teams to drive business objectives.
Responsibilities:
• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identifies meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications:
Required:
• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Statistics
• Programming, data modeling, simulation, and advanced mathematics
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Working knowledge of procedures, instructions, and validation techniques
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Sound Judgment
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Preferred:
• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Company:
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained Founded in 1933, the company is headquartered in Vienna, USA, with a team of 10001+ employees. The company is currently Late Stage.
Navy Federal Credit Union is a prominent financial institution seeking a Senior Data Scientist to provide independent data science and analytical insights. The role involves designing predictive models, analyzing data to support decision-making, and collaborating with teams to drive business objectives.
Responsibilities:
• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identifies meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications:
Required:
• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Statistics
• Programming, data modeling, simulation, and advanced mathematics
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Working knowledge of procedures, instructions, and validation techniques
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Sound Judgment
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Preferred:
• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Company:
Since 1933, Navy Federal has grown from seven members to over 4 million members. And since that time, their vision statement has remained Founded in 1933, the company is headquartered in Vienna, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Navy Federal Credit Union employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Navy Federal Credit Union
Sourced by ZipRecruiter
Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
Vienna, VA, US
Year founded
1933