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Entry Level Credit Risk Analyst Jobs in Hartford, CT

Webster Bank

Manager, Financial Analytics

Waterbury, CT · On-site

$107K - $141K/yr

This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound ... Develop strong relationships with Webster lines of business, Finance,Credit, Data,Risk & IT ...

Self Help

Mortgage Loan Officer

Manchester, CT · On-site

$63K - $95K/yr

... analysis of each applicants background. Responsible for promoting credit union products and ... risk. Determines the maximum purchase price/loan amount based on borrower data. Approve or deny ...

Self Help

Mortgage Loan Officer

Manchester, CT · On-site

$63K - $95K/yr

... analysis of each applicants background. Responsible for promoting credit union products and ... risk. Determines the maximum purchase price/loan amount based on borrower data. Approve or deny ...

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All JobsCredit Risk Analyst JobsEntry Level Credit Risk Analyst JobsEntry Level Credit Risk Analyst Jobs in Hartford, CT

Entry Level Credit Risk Analyst information

See Hartford, CT salary details

$37.3K

$114.9K

$199.2K

How much do entry level credit risk analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level credit risk analyst in Hartford, CT is $114,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $141,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the entry level credit risk analyst position, and why are they important?

To thrive as an Entry Level Credit Risk Analyst, you need strong analytical and quantitative abilities, a bachelor's degree in finance, economics, or a related field, and a keen attention to detail. Familiarity with Excel, financial modeling tools, and risk assessment software, as well as knowledge of databases and possibly SAS or Python, is often required. Excellent communication, time management, and problem-solving skills help you interpret data and present findings effectively. These skills ensure accurate risk evaluations, sound decision-making, and effective collaboration within credit risk teams.

What does an entry level credit risk analyst do?

An Entry Level Credit Risk Analyst evaluates financial data to assess the creditworthiness of individuals or businesses. They analyze credit reports, financial statements, and payment histories to identify potential risks. Their role supports risk management strategies by helping companies make informed lending or investment decisions. Additionally, they may assist in maintaining risk models and ensuring compliance with internal policies and industry regulations. Strong analytical skills, attention to detail, and proficiency in financial tools are essential for success in this role.

What are popular job titles related to Entry Level Credit Risk Analyst jobs in Hartford, CT? For Entry Level Credit Risk Analyst jobs in Hartford, CT, the most frequently searched job titles are:
What cities near Hartford, CT are hiring for Entry Level Credit Risk Analyst jobs? Cities near Hartford, CT with the most Entry Level Credit Risk Analyst job openings:
Entry Level Credit Risk Analyst jobs near you
Infographic showing various Entry Level Credit Risk Analyst job openings in Hartford, CT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,874 per year, or $55.2 per hour.

Manager, Financial Analytics

Webster Bank

Waterbury, CT • On-site

$107K - $141K/yr

Full-time

Posted 13 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

124th of 170 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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