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Hourly Credit Risk Modeling Jobs in Virginia (NOW HIRING)

Droisys

Technical Writer

Richmond, VA · On-site

Technical Writer Richmond VA or New York, NY 1 year contract Experience with Credit risk models (mathematical). Comparing current state to internal policy. Gap analysis. Experience with policy ...

Visa

Director, VCA NA Risk Practice

Ashburn, VA

Lead endtoend credit risk consulting initiatives, contributing to origination and closing of ... Develop customer lifetime value (CLV) and portfolio economics models to inform acquisition ...

Freddie Mac

Risk Analytics, Senior Director

Mclean, VA · On-site

... and credit risk management practices * Familiarity with relevant regulatory requirements, including CCAR/DFAST and Basel standards * Expertise in mortgage and fixed income products, model loss ...

Freddie Mac

Risk Analytics, Senior Director

Mclean, VA · On-site

... and credit risk management practices * Familiarity with relevant regulatory requirements, including CCAR/DFAST and Basel standards * Expertise in mortgage and fixed income products, model loss ...

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Hourly Credit Risk Modeling information

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?

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically 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 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 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:
Hourly Credit Risk Modeling jobs near you

Credit Administration Manager

JOHN MARSHALL BANCORP INC

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Job Type
Full-time
Description
John Marshall Bank is seeking a seasoned Credit professional to lead our credit risk assessment, loan monitoring and policy compliance, portfolio analytics, stress testing, and allowance for credit losses (CECL) program management. This high-impact role serves as a key partner to the Chief Credit Officer, transforming complex loan data into strategic insights. The ideal candidate blends technical mastery of various software programs with the leadership presence to manage vendor relationships and regulatory audits.
Key Responsibilities
Strategic Portfolio Analytics & Reporting
  • CRE Concentration Management: Lead the preparation and analysis of CRE Concentration Reports
  • Market Intelligence: Leverage Moody's and other market data to identify emerging trends; translate raw data into sophisticated, "Board-ready" reporting.
  • Data Visualization: Utilize advanced Excel (Pivot Tables, VLOOKUPs, Power Query) to develop charts and dashboards that communicate portfolio health to stakeholders.

Credit Risk Stress Testing
  • Bottom-Up Testing, Top-Down Modeling & Risk Identification: Audit CRE loan data, updating NOI and appraisal information; perform sample testing to verify the accuracy of core-to-software data feeds, maintain and update top-down stress models, evaluate stress testing results to identify high-risk segments and analyze the underlying drivers of risk.

CECL Program Leadership
  • Program Governance: Own the CECL reporting lifecycle, reconciling balances across the GL and the model while incorporating qualitative frameworks.
  • Executive Communication: Lead the quarterly CECL Steering Committee; prepare detailed memos, minutes, and PowerPoint presentations for the Board.
  • Compliance & Audit: Manage the CECL refresh and validation processes and serve as the primary point of contact for internal and external audits.
  • Vendor Management: Oversee the vendor process, including vendor selection, contract negotiations, and due diligence.

Portfolio Surveillance & Quality Control
  • Covenant & Review Management: Oversee the annual review process; monitor loan covenants to ensure prompt assessment and resolution of violations.
  • Production & Quality Reporting: Manage the delivery of comprehensive monthly and quarterly report packages covering loan production and credit quality.
  • Specialized Monitoring: Provide deep-dive analysis into portfolios for inclusion in public press releases and regulatory filings.

Special Assets & Credit Support
  • Watch List Management: Partner with the Chief Credit Officer to manage criticized assets; coordinate and lead Watch List meetings and prepare Criticized Asset Reports.
  • Borrower Engagement: Assist in the direct or indirect management of troubled loan relationships as needed.

Requirements
  • Education: Bachelor's degree
  • Experience: 10-15 years of progressive experience in Commercial Credit Analysis, Portfolio Management, or Credit Administration.
  • CECL Proficiency: Direct experience supporting a CECL program, including running models and preparing quarterly reporting materials.
  • Technical Mastery: Advanced Excel skills (Pivot Tables, VLOOKUPs, and complex data modeling) and experience with Moody's or similar market data platforms.
  • Credit Analysis: Professional-level ability to spread and analyze financial statements, tax returns, and complex financial data to interpret metrics and ratios.
  • Communication: Proven ability to draft professional memos and reports for Senior Management and Board-level review.

Preferred
  • Education: Bachelor's or master's degree in finance, Accounting, Economics, or a related field,
  • Advanced CECL Expertise: Experience leading the full CECL life cycle, including managing the annual refresh process, vendor selection for model validation, and contract negotiations (specifically with Abrigo).
  • Regulatory & Audit Leadership: Experience acting as the primary point of contact for internal and external audits and regulatory exams related to credit risk and allowance methodologies.
  • Lending Authority: Previous Loan Approval Authority is highly desirable, demonstrating a high level of credit judgment and risk assessment.
  • Software Expertise: Direct, hands-on experience with Abrigo (Lender Platform/Stress Testing) and H360 core banking systems.
  • Stress Testing: Experience designing or executing both Top-Down and Bottom-Up stress testing models.
  • Special Assets: Experience in working out problem loans.
  • Industry Certifications: Relevant certifications such as CPA, CFA, or RMA (Risk Management Association) Credit Risk Certification.

John Marshall Bank is an Equal Opportunity Employer
At John Marshall Bank, we pride ourselves on being able to attract the best talent in the industry, therefore we offer a comprehensive benefits package which includes:
  • Medical
  • Dental
  • 401K Retirement Plan w/ an Employer Match
  • Vision
  • Employee Assistance Program
  • Flexible Spending
  • Transit Reimbursement
  • Dependent Day Care
  • Long Term Care
  • Paid Time Off
  • Life and Disability Coverage

At this time, John Marshall Bank will not sponsor a new applicant for employment authorization for this position.

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