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Bank Computer Science Jobs in Danbury, CT (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

As a leading commercial bank, we remain passionate about serving our clients and supporting our ... Bachelors, Masters' in statistics, data science, computer science or other STEM fields (e.g ...

Pwc

Core Banking System Architect - Director

Stamford, CT · On-site

$155K - $410K/yr

... As a Core Banking System Architect - Director, you will design and implement architectural ... Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ...

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All JobsBank Computer Science JobsBank Computer Science Jobs in Danbury, CT

Bank Computer Science information

See Danbury, CT salary details

$51.7K

$113.9K

$140.7K

How much do bank computer science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for bank computer science in Danbury, CT is $113,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a bank computer scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

How does a bank computer scientist typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What are the key skills and qualifications needed to thrive as a bank computer scientist, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

Can someone who studies computer science work in a bank?

Yes, a computer science graduate can work in a bank, often in roles such as software developer, cybersecurity analyst, or data analyst. Banks rely on computer science skills for developing financial software, managing data security, and maintaining banking systems, often requiring knowledge of programming languages, databases, and security protocols.

How is computer science used in banking?

Bank computer science professionals develop and maintain software systems that support banking operations, including transaction processing, fraud detection, and data security. They also work with databases, cybersecurity measures, and financial algorithms to ensure efficient and secure banking services.

What positions would you work in a bank with a computer science degree?

With a computer science degree, you can work in various bank roles such as software developer, systems analyst, cybersecurity specialist, data analyst, or IT support. These positions involve developing banking applications, managing security protocols, analyzing financial data, and maintaining IT infrastructure, often requiring knowledge of programming languages, databases, and security tools.

What job categories do people searching Bank Computer Science jobs in Danbury, CT look for?

The top searched job categories for Bank Computer Science jobs in Danbury, CT are:

Bank Computer Science jobs near you
Infographic showing various Bank Computer Science job openings in Danbury, CT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $113,911 per year, or $54.8 per hour.

Manager, Financial Analytics

Webster Bank

Stamford, CT • On-site

$112K - $147K/yr

Full-time

Posted 25 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.
The role plays a key role in bridging business objectives with data-driven insights at Webster. This position is responsible for understanding and translating complex business requirements into analytical solutions, leveraging Webster's data systems and tools, designing coding and maintaining data workflows. The role involves overseeing the integration and processing of both structured and unstructured data sources to enhance data usability. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis and reporting. The Manager Financial Analytics role designs and supports statistical and predictive models that inform strategic decision-making. This role is right for you if you're a "hands-on" coder and 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 partners to 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 support Dual Risk Rating model building, monitoring and model refresh.

  • Analyze and organize large structured and unstructured data to derive actionable insights and support decision-making processes.

  • 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 objectives and implement effective solutions.

  • Work with external data sources, APIs.

Required Skills & Experience
  • 3+ years of industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

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

  • Proficient in Python/SAS Programming Language.

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

  • Experience in building, validating and deploying statistical or predictive models.

  • Strong business knowledge and familiarity with financial 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 of industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with unstructured data using advanced OCR and NLP techniques.

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

  • Experience in 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" and provide suggestions on ways to improve the process.

Education
  • Bachelors, Masters' in statistics, data science, computer science or other STEM fields (e.g., physics, math, engineering, etc.) Finance or Business MS/MBA with strong quantitative and programming background also 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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