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Cecl Loss Forecasting Jobs in Raleigh, NC (NOW HIRING)

NC SECU

Financial Modeling Analyst I

Raleigh, NC · Hybrid

... 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 ...

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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.

What are popular job titles related to Cecl Loss Forecasting jobs in Raleigh, NC?

For Cecl Loss Forecasting jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Cecl Loss Forecasting jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Cecl Loss Forecasting jobs?

Cities near Raleigh, NC with the most Cecl Loss Forecasting job openings:

Cecl Loss Forecasting jobs near you
Infographic showing various Cecl Loss Forecasting job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Financial Modeling Analyst I

State Employees' Credit Union

Raleigh, NC • On-site

Full-time

Posted 5 days ago

State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Position Overview:
This position will support the development, monitoring, and testing of quantitative models to support SECU's Capital Planning, Stress Testing, and CECL efforts. This position supports executive decision making with regard to scenario analysis, risk appetite, and loan-loss allowance. This position informs management of trends within the economy and SECU's balance sheet.
Essential Responsibilities:
  • (30%) Assist with the maintenance of existing quantitative analysis, credit loss forecasting models, and behavior modeling for loan and deposit products.
  • (30%) Lead in the development, documentation, review, backtesting, and approval of new models.
  • (20%) Assist with capital planning and analysis to support growth projections and scenario design.
  • (20%) Assist with implementation, performance monitoring, and ad hoc analysis to support credit loss forecasting.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • This position requires a four-year degree in Finance, Mathematics, Economics, or a related quantitative field of study.
  • 2+ years of progressive experience in financial services industry in risk management or finance or an advanced degree in a quantitative field of study
  • Strong understanding of financial markets, interest rates and potential impact of current economic activities and political events. Strong understanding of financial statements, forecasting, and performance metrics.
  • Proven ability to condense highly technical subject matter into clear and effective communications to senior management.
  • Proficient with statistical software programming tools such as R, Python, SAS.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Advanced degree in Finance, Mathematics, Economics, or a related quantitative field of study.

Job Environment & Physical Requirements:
  • Hybrid work schedule

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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