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Cecl Python Jobs (NOW HIRING)

Extracts and transforms data using SQL or Python, find data inconsistencies, and resolve data ... Credit Losses (CECL) programs. * Manages assigned projects timely to ensure compliance with ...

Extracts and transforms data using SQL or Python, find data inconsistencies, and resolve data ... Credit Losses (CECL) programs. * Manages assigned projects timely to ensure compliance with ...

Extracts and transforms data using SQL or Python, find data inconsistencies, and resolve data ... Credit Losses (CECL) programs. * Manages assigned projects timely to ensure compliance with ...

Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker ... CECL Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand the ...

Proficiency in programming languages and tools such as Python, SAS, SQL, VBA. * Experience dealing ... CECL Total Base Pay Range 96,500.00 - 207,500.00 USD Annual At Fifth Third, we understand the ...

Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker ... CECL Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand the ...

Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker ... CECL Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand the ...

Experience with Python, R, SAS (including statistical modeling), SQL, Git, Amazon SageMaker ... CECL Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand the ...

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Cecl Python information

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How much do cecl python jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for cecl python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for roles like Cecl Python, as it is widely used in data analysis, automation, and web development. Its versatility and strong community support ensure continued relevance in the job market through 2026 and beyond.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek Python skills along with knowledge of frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow. The demand is expected to grow as technology continues to advance and data-driven decision-making becomes more prevalent.

What Python jobs are in demand?

Python jobs in demand include roles such as Python developer, data scientist, machine learning engineer, and backend engineer. These positions often require knowledge of frameworks like Django or Flask, data analysis skills, and proficiency with tools like SQL and cloud platforms.

What is the difference between Cecl Python vs Cecl Data Analyst?

AspectCecl PythonCecl Data Analyst
Required CredentialsPython programming skills, financial modeling knowledgeData analysis skills, SQL, Excel, possibly some programming
Work EnvironmentDeveloping models, coding, testing in financial institutionsData interpretation, reporting, supporting decision-making
Industry UsageUsed by quantitative teams, risk management, model developmentUsed by business analysts, risk teams, finance departments

Cecl Python focuses on developing and implementing CECL models using Python programming, while Cecl Data Analysts primarily interpret data, prepare reports, and support model validation. Both roles are essential in financial institutions but differ in technical depth and daily tasks.

What is the highest paid Python programmer?

The highest paid Python programmers typically work in specialized fields such as data science, machine learning, or software architecture, often earning salaries exceeding $150,000 annually in high-demand markets. Senior developers with extensive experience, advanced skills in frameworks like Django or Flask, and certifications can command top-tier compensation, especially in large tech companies or financial institutions.
More about Cecl Python jobs
What cities are hiring for Cecl Python jobs? Cities with the most Cecl Python job openings:
What states have the most Cecl Python jobs? States with the most job openings for Cecl Python jobs include:
Infographic showing various Cecl Python job openings in the United States as of June 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
CECL Analyst

CECL Analyst

First Electronic Bank

Salt Lake City, UT โ€ข On-site

Full-time

Posted 19 days ago


Job description

Job Type
Full-time
Description
At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB's engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.
The CECL Analyst supports the organization's Current Expected Credit Losses (CECL) modeling, reporting, and analysis. This role assists in collecting, validating, and analyzing loan portfolio data to support allowance calculations, risk assessments, regulatory reporting, and management presentations. The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling.
What You'll Do:
  • CECL Data & Modeling Support
  • Assist with preparing and validating monthly/quarterly CECL dataset inputs, ensuring accuracy and completeness.
  • Support the execution of CECL models, including probability of default (PD), loss given default (LGD), and prepayment models.
  • WARM methodology and Static Pool/Vintage Loss analysis.
  • Help maintain model documentation and version control.
  • Analysis & Reporting
  • Assist in generating CECL allowance calculations and variance analyses.
  • Prepare supporting schedules, workpapers, and dashboards for internal stakeholders and auditors.
  • Identify trends in portfolio performance, credit quality, and model outputs.
  • Controls, Compliance & Audit Support
  • Support internal and external audit requests related to CECL processes and controls.
  • Ensure CECL processes align with regulatory guidance and internal policies.
  • Contribute to the enhancement of data quality procedures and risk controls.
  • Cross-Functional Collaboration
  • Partner with Credit, Finance, Accounting, and Data teams to gather required inputs and clarify assumptions.
  • Support ad hoc analysis and special projects related to credit risk, loan portfolio performance, or regulatory changes.

Requirements
What We're Looking For:
  • Degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Analytics, or related field.
  • Strong analytical and quantitative skills.
  • Previous experience with vended software, like Moody's Portfolio Analyzer or Impairment Studio preferred.
  • Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.
  • Ability to work with large datasets and identify discrepancies.
  • Strong organizational skills and attention to detail.

Preferred Qualifications
  • 5+ years of experience in financial services, banking, credit risk, accounting, or data analytics.
  • Exposure to CECL methodology, ALLL, or other credit modeling frameworks.
  • Experience with loan servicing or core banking systems.
  • Understanding of credit risk metrics and loan portfolio structures.

Key Competencies
  • Analytical thinking
  • Problem-solving
  • Data accuracy and precision
  • Ability to manage multiple priorities
  • Strong communication skills
  • Initiative and willingness to learn complex financial concepts