... data vendors to enhance model features, leads waterfall and risk segmentation. • Support ... Competencies: • 5+ years of experience in credit risk modeling, decision science, or quantitative ...
... data vendors to enhance model features, leads waterfall and risk segmentation. • Support ... Competencies: • 5+ years of experience in credit risk modeling, decision science, or quantitative ...
Director, Credit Risk
Saint Charles, MO · On-site +1
As Director, Credit Risk, you will directly impact portfolio performance by reducing delinquencies through smarter underwriting and data-driven decisions; building dynamic, risk-based pricing ...
Quick apply
Director, Credit Risk
Saint Charles, MO · On-site +1
As Director, Credit Risk, you will directly impact portfolio performance by reducing delinquencies through smarter underwriting and data-driven decisions; building dynamic, risk-based pricing ...
Director, Credit Risk
Saint Charles, MO · On-site +1
As Director, Credit Risk, you will directly impact portfolio performance by reducing delinquencies through smarter underwriting and data-driven decisions; building dynamic, risk-based pricing ...
Director, Credit Risk
Saint Charles, MO · On-site +1
As Director, Credit Risk, you will directly impact portfolio performance by reducing delinquencies through smarter underwriting and data-driven decisions; building dynamic, risk-based pricing ...
Credit Risk Assistant (Temp)
Alton, MO · On-site
Provide support to the Credit Analyst, including data input and information collation * Monitor ... Conduct risk assessment comparisons for existing accounts as part of scheduled reviews * Run ...
Credit Risk Assistant (Temp)
Alton, MO · On-site
Provide support to the Credit Analyst, including data input and information collation * Monitor ... Conduct risk assessment comparisons for existing accounts as part of scheduled reviews * Run ...
Credit Risk Assistant (Temp)
Alton, MO · On-site
Provide support to the Credit Analyst, including data input and information collation * Monitor ... Conduct risk assessment comparisons for existing accounts as part of scheduled reviews * Run ...
Credit Risk Assistant (Temp)
Alton, MO · On-site
Provide support to the Credit Analyst, including data input and information collation * Monitor ... Conduct risk assessment comparisons for existing accounts as part of scheduled reviews * Run ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
(USA) Senior, Data Scientist
$90K - $180K/yr
Walmart's Decision Management Team supports the growth of the e-Commerce Marketplace program through the practical application of data science and advanced analysis to optimize risk decision ...
Staff, Data Scientist
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Staff, Data Scientist
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Staff, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Staff, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Staff, Data Scientist
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Staff, Data Scientist
$110K - $220K/yr
You will elevate the quality and impact of data science across the team by setting technical standards, mentoring senior scientists, and driving innovation in AI-powered risk systems. How You'll Make ...
Role -Define and execute data science strategy aligned to AI Ops and enterprise priorities ... risk to the organization and therefore, it is expected that the successful candidate for this ...
Role -Define and execute data science strategy aligned to AI Ops and enterprise priorities ... risk to the organization and therefore, it is expected that the successful candidate for this ...
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Director, Data Scientist
O Fallon, MO · On-site
Role -Define and execute data science strategy aligned to AI Ops and enterprise priorities ... risk to the organization and therefore, it is expected that the successful candidate for this ...
Director, Data Scientist
O Fallon, MO · On-site
Role -Define and execute data science strategy aligned to AI Ops and enterprise priorities ... risk to the organization and therefore, it is expected that the successful candidate for this ...
Data Scientist
$100K - $140K/yr
Stay updated with the latest advancements in data science and machine learning technologies ... Provide sensitive financial information such as credit card numbers or banking information.
New
Data Scientist
$100K - $140K/yr
Stay updated with the latest advancements in data science and machine learning technologies ... Provide sensitive financial information such as credit card numbers or banking information.
New
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Strong understanding of model governance, explainability, and risk management . * Ability to ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...
Data Scientist
$108K/yr
Mathematics, statistics, computer science, data science or field directly related to the position ... credit for that education. For further information, visit: Employment Type: OTHER
New
Data Scientist
$108K/yr
Mathematics, statistics, computer science, data science or field directly related to the position ... credit for that education. For further information, visit: Employment Type: OTHER
New
Leads technical reviews(design, algorithm, code, and model risk reviews) and provides guidance to other data scientists and partner teams. * Partners cross-functionallywith analytics, engineering ...
Leads technical reviews(design, algorithm, code, and model risk reviews) and provides guidance to other data scientists and partner teams. * Partners cross-functionallywith analytics, engineering ...
Leads technical reviews(design, algorithm, code, and model risk reviews) and provides guidance to other data scientists and partner teams. * Partners cross-functionallywith analytics, engineering ...
Leads technical reviews(design, algorithm, code, and model risk reviews) and provides guidance to other data scientists and partner teams. * Partners cross-functionallywith analytics, engineering ...
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 Missouri? For Credit Risk Data Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Missouri look for? The top searched job categories for Credit Risk Data Science jobs in Missouri are:
What cities in Missouri are hiring for Credit Risk Data Science jobs? Cities in Missouri with the most Credit Risk Data Science job openings:
Full-time
Posted 29 days ago
Job description
POSITION DESCRIPTION
Title: Senior Credit Risk/Decision Scientist
Classification: Salaried, exempt
Position Type: Full Time
Reports to: Credit Risk Officer – Digital Banking
Location: TBD
Summary/Objective
The Senior Credit Risk/Decision Scientist will be responsible for quantitative model development, credit strategy design, and analytical decision support throughout the customer life cycle. This role will build, validate, and monitor predictive models; design and interpret strategy tests; and translate analytical findings into actionable credit policy.
Essential Functions
Duties/Responsibilities:
• Develop, validate, and recalibrate credit risk scorecards and predictive models for acquisition, account management, and loss forecasting.
• Design and analyze champion-challenger tests to optimize credit policy and decisioning thresholds.
• Partner with Marketing to enhance response and bidding models focused on improved conversion and acquisition cost
• Monitor model performance through ongoing back-testing, stability analysis, and drift detection; recommend recalibration as needed.
• Integrate and evaluate third-party data vendors to enhance model features, leads waterfall and risk segmentation.
• Support prescreen modeling and strategies in partnership with marketing and credit strategy teams.
• Conduct portfolio-level risk analysis including delinquency trending, vintage analysis, and loss projections.
• Collaborate with compliance on model risk governance, fair lending review, and SR 11-7 documentation requirements.
• Prepare clear model documentation, validation reports, and executive-ready presentations for internal stakeholders and regulators.
• Partner with IT and data engineering teams on data pipelines, feature engineering, and model deployment in production environments.
• Contribute to fraud detection and collections analytics as workflow allows, supporting cross-functional risk initiatives.
Competencies:
• 5+ years of experience in credit risk modeling, decision science, or quantitative analytics within a bank, credit union, fintech, or consumer lender.
• Demonstrated experience building and validating scorecards using logistic regression, decision trees, gradient boosting, or similar techniques.
• Strong proficiency in Python or R for statistical modeling, data manipulation, and visualization
• Solid SQL skills; ability to independently access and analyze large datasets
• Familiarity with credit bureau data (Experian, Equifax, TransUnion) and alternative data sources.
• Understanding of model risk management frameworks, including SR 11-7 / OCC 2011-12 guidance.
• Strong analytical communication skills — ability to translate complex model outputs into actionable business recommendations.
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Finance, or a related quantitative field.