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Salaried Cecl Jobs (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Jericho, NY · On-site

$109K - $143K/yr

This includes the preparation of CECL loan data across each of the relevant portfolios ... Actual salary may vary up or down depending on job-related factors which may include knowledge ...

Anthropic

Director, Revenue Accounting

San Francisco, CA · On-site

$230K - $300K/yr

Lead quarterly CECL aging analysis to ensure consistent application of ASC 326 and work with AR ... Annual Salary: $230,000-$300,000 USD Logistics Minimum education: Bachelor's degree or an ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

This includes the preparation of CECL loan data across each of the relevant portfolios ... Actual salary may vary up or down depending on job-related factors which may include knowledge ...

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How much do salaried cecl jobs pay per year?

As of Aug 20, 2026, the average yearly pay for salaried cecl in the United States is $62,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $73,000.00 per year, depending on experience, location, and employer.

What is a salaried CECL?

A Salaried CECL typically refers to a professional who works on the Current Expected Credit Losses (CECL) model within a financial institution or related organization. CECL is an accounting standard issued by the Financial Accounting Standards Board (FASB) that requires companies to estimate and report expected credit losses over the life of financial assets. Salaried CECL professionals are responsible for developing, implementing, and maintaining CECL models, analyzing credit risk, and ensuring compliance with regulatory requirements. Their work is crucial for accurate financial reporting and risk management in the banking and finance sectors.

What are the key skills and qualifications needed to thrive as a salaried CECL analyst?

To thrive as a Salaried CECL Analyst, you need strong quantitative analysis skills, a background in finance or accounting, and a solid understanding of the Current Expected Credit Loss (CECL) standard. Familiarity with statistical modeling tools, data analytics platforms like SAS or Python, and relevant CECL compliance software is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate across departments. These abilities are crucial for accurately forecasting credit losses, ensuring regulatory compliance, and supporting sound financial decision-making.

What are some common challenges faced by professionals in a salaried CECL role?

Professionals in a Salaried CECL role often navigate complex regulatory requirements and rapidly changing accounting standards. One major challenge is staying up-to-date with the latest guidance from organizations like FASB while ensuring accurate modeling and data integrity in CECL calculations. Additionally, collaboration with cross-functional teams—such as risk, finance, and IT—is essential to gather inputs and validate assumptions, which can be both rewarding and demanding. Adapting to new technologies and automating processes are also ongoing aspects of the role, offering continuous learning but requiring flexibility and strong analytical skills.
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Salaried Cecl jobs near you
Infographic showing various Salaried Cecl job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $62,920 per year, or $30.2 per hour.

Manager, Financial Analytics

Webster Bank

Jericho, NY • On-site

$109K - $143K/yr

Full-time

Posted 26 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

123rd of 171 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models. This includes the preparation of CECL loan data across each of the relevant portfolios, coordination with data, credit, business line, and operations teams on any issues, and presenting the results to the CECL Committee and external auditors at least quarterly.

Theroleplays a key role in bridging business objectives with data-driven insightsat Webster. This positionis responsible for understanding and translating complex business requirements into analytical solutions, leveragingWebster'sdatasystems andtools,designing coding and maintainingdata workflows.The role involves overseeing the integration and processing of both structured and unstructured data sourcesto enhance data usability.Theindividual needs to collaborate withIT, DataTeam,andLoBpartners in developingdataworkflows,dataanalysisandreporting.TheManager Financial Analyticsrole designs and supports statistical and predictive models that inform strategic decision-making. This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound business understanding.

Primary Responsibilities

  • Develop expert knowledge and experience with Webster's data systems and tools.

  • Develop strong relationships with Webster lines of business, Finance,Credit, Data,Risk & IT partnersto ensure consistency and appropriateness of the team's various processes and impact on FA models.This includes changes to external systems, changes in database content and structure, and changes in applied methodology.

  • Execute and supportDual RiskRatingmodel building, monitoring and model refresh.

  • Analyze and organize largestructured and unstructureddata to derive actionable insights and support decision-makingprocesses.

  • Assist FA team and collaborate internally.Document and communicate changes to data structure, content and logic that has impact on models. Assist in the coding and testing of changes to existing models.

  • Collaborate with cross-functional teams to understand data requirements, business objectivesand implement effectivesolutions.

  • Work with external data sources, APIs.

Required Skills& Experience

  • 3+years ofindustryexperienceinData Analytics,Data Science,DataEngineering,Software Developmentor relatedfield.

  • Experience working with complex data structureswithin a RDMS (Oracle, SQL).

  • Proficient in Python/SASProgramming Language.

  • Knowledge of advanced statistical techniques and concepts and experience with applications.

  • Experienceinbuilding, validating and deploying statistical or predictive models.

  • Strongbusiness knowledge and familiarity withfinancial data systems and architecture.

  • Ability to interpret and translate business needs into analytical frameworks.

  • Strong analytical and problem-solving skills and ability to work in a collaborative team environment.

  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

  • Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

  • Technically oriented, proactive, and enthusiastic, with good attention to details.

  • Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment.

Preferred Skills & Experience

  • 5+years ofindustry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with unstructured datausing advanced OCR and NLP techniques.

  • Experiencewith one or more cloud-based computing platforms: AWS, Azure, GCP.

  • Experiencein designing efficient and robust data workflows(e.g.- Apache Airflow).

  • Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. - GitLab).

  • Experience in developing constructive relationships with a wide range of different stakeholders.

  • Ability to independently gather data from various sources and conduct research.

  • Ability to think "out of the box"andprovide suggestions on ways to improvethe process.

Education

  • Bachelors,Masters'in statistics, datascience, computer scienceor otherSTEMfields (e.g., physics, math, engineering, etc.)Finance or Business MS/MBAwithstrongquantitativeand programmingbackgroundalso acceptable.

The estimated salary range for this position is $110,000USD to $130,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

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Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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