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Cecl Loss Forecasting Jobs (NOW HIRING)

... CECL efforts. This position supports executive decision making with regard to scenario analysis ... loss forecasting models, and behavior modeling for loan and deposit products. * (30%) Lead in the ...

Experience developing models used for CECL, stress testing, underwriting, loss forecasting, or profitability analysis. * Experience supporting model validation activities and regulatory examinations.

Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL, as well as allied quantitative estimates such as recoveries and scenario management and stress ...

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Cecl Loss Forecasting information

What is CECL loss forecasting?

CECL loss forecasting refers to the process of estimating credit losses under the Current Expected Credit Loss (CECL) accounting standard. This involves projecting future credit losses for financial assets such as loans, based on historical data, current conditions, and reasonable forecasts. CECL requires institutions to recognize expected lifetime losses at the time of asset origination or purchase, rather than waiting for losses to become probable. Accurate CECL loss forecasting helps banks and lenders maintain appropriate reserves and comply with regulatory requirements.

What skills and qualifications are needed for a CECL loss forecasting analyst?

To thrive as a CECL Loss Forecasting Analyst, you need strong quantitative analysis skills, knowledge of accounting standards (especially CECL), and a background in finance or statistics, often supported by a relevant degree. Proficiency with statistical modeling tools (such as SAS, R, or Python), data visualization platforms, and experience with financial reporting systems are typically required. Attention to detail, critical thinking, and clear communication are crucial soft skills for interpreting complex data and presenting findings to stakeholders. These skills and qualities ensure accurate loss forecasts, regulatory compliance, and informed decision-making within financial institutions.

What are common challenges in CECL loss forecasting roles and how can they be addressed?

Professionals in CECL (Current Expected Credit Loss) Loss Forecasting often encounter challenges such as managing large volumes of complex data, keeping up with evolving regulatory requirements, and ensuring model accuracy under varied economic scenarios. To address these challenges, it's important to stay current with industry best practices, collaborate closely with cross-functional teams like risk management and IT, and engage in regular model validation and documentation. Leveraging advanced analytics tools and participating in ongoing training can also help professionals stay effective and compliant in this dynamic field.

What is the difference between Cecl Loss Forecasting vs Credit Risk Analyst?

AspectCecl Loss ForecastingCredit Risk Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; familiarity with accounting standardsBachelor's degree in finance, economics, or related field; analytical skills
Work EnvironmentFinancial institutions, banks, or credit organizations focusing on loss estimationBanks, lending institutions, or credit agencies assessing borrower risk
Industry UsagePrimarily in banking and financial services for loan loss provisioningAcross banking, lending, and credit sectors for risk assessment

Cecl Loss Forecasting specializes in estimating expected credit losses using accounting standards like CECL, focusing on loss provisioning. Credit Risk Analysts evaluate borrower creditworthiness and assess risk, often using similar data but with a broader scope. While both roles require financial analysis skills, Cecl Loss Forecasting is more focused on loss estimation models, whereas Credit Risk Analysts handle overall credit risk assessment.

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Infographic showing various Cecl Loss Forecasting job openings in the United States as of September 2026, with employment types broken down into 72% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Credit Risk Director - Consumer Loss Forecasting

Iowa, LA • On-site

Other

Posted 29 days ago


Job description

  • Lead a team of managers, analysts, and forecasting professionals responsible for consumer loss forecasting across multiple portfolios
  • Provide strategic direction and oversight for forecasting processes supporting CCAR, ACL/CECL, Loss Forecasting, stress testing, and other enterprise forecasting requirements
  • Ensure accurate, timely, and controlled delivery of forecasting results for regulatory, financial, and business decision-making
  • Oversee forecast governance, execution controls, issue management, and risk identification activities
  • Partner with senior leaders across Risk, Finance, Technology, Model Risk Management, and line-of-business organizations
  • Lead forecasting modernization initiatives, including process automation, cloud-based forecasting, workflow optimization, and AI-enabled solutions
  • Drive continuous improvement to enhance forecast efficiency, scalability, transparency, and governance while reducing operational risk
  • Provide executive-level communications and recommendations on forecast results, emerging risks, portfolio performance, and forecasting assumptions
  • Manage delivery against regulatory and business timelines while maintaining analytical rigor and operational excellence
  • Develop organizational talent, succession plans, and leadership capabilities
  • Support applicable risk and compliance programs, policies, procedures, escalation, remediation, monitoring, governance, and risk decisions
Requirements
  • 10+ years of Credit Risk experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
  • 4+ years of management or leadership experience
  • Extensive experience in credit risk, forecasting, quantitative analytics, finance, risk management, or a related discipline
  • Experience leading managers and large, complex analytical organizations
  • Deep understanding of forecasting methodologies, risk management practices, and regulatory requirements
  • Proven ability to lead large-scale transformation initiatives, process redesign efforts, and technology modernization programs
  • Strong executive communication and stakeholder management skills
  • Demonstrated success delivering complex initiatives under demanding timelines and governance requirements
  • Required to work at one of the listed locations
  • Travel up to 10% of the time
  • This position is not eligible for VISA sponsorship
Core Competencies

Demonstrates extensive expertise in Credit Risk, Forecasting Methodologies, and Risk Management, with a strong focus on leading large-scale transformation initiatives and delivering complex forecasting processes. Proven ability to communicate effectively with executives and manage stakeholder relationships while ensuring compliance with regulatory requirements.

Highest-signal resume keywords
  • Credit Risk Experience
  • Forecasting Methodologies
  • Leadership Experience
  • Quantitative Analytics
  • Regulatory Compliance
Hard Skills
  • Forecasting Processes
  • Risk Management Practices
  • Quantitative Analytics
  • Process Automation
  • AI-Enabled Solutions
  • Governance
  • Operational Excellence
  • Stress Testing
  • Loss Forecasting
  • Forecast Governance
Soft Skills
  • Executive Communication
  • Stakeholder Management
  • Team Development
  • Issue Management
  • Continuous Improvement
Industry Keywords
  • CCAR
  • ACL
  • CECL
  • Risk Identification
  • Analytical Rigor
Tools & Technologies
  • Cloud-Based Forecasting
  • Workflow Optimization
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