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Computer Science Finance Jobs in Boston, MA (NOW HIRING)

Bachelor's degree in Analytics, Statistics, Industrial Engineering, Computer Science, Finance, Business, or a related quantitative field. Competitive Pay: $83,686 - $95,402 annually Equal Opportunity ...

Finance Analytics & AI Senior Consultant

Boston, MA ยท On-site

$126K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

Finance Analytics & AI Senior Consultant

Boston, MA ยท On-site

$126K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * Ability to travel 50%, on average, based on the work you do ...

Java/Python Software Engineer

Boston, MA ยท On-site

$56.25 - $77/hr

Bachelor's degree in Computer Science, Finance, or a related technical field. * Professional exposure to financial services, investment systems, and/or asset management domains. * Direct experience ...

Finance Manager, Amazon Robotics Finance

Reading, MA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... computer science) PREFERRED QUALIFICATIONS - 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience - 6+ years of ...

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Computer Science Finance information

See Boston, MA salary details

$27.2K

$100.6K

$147.2K

How much do computer science finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science finance in Boston, MA is $100,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $118,400.00 per year, depending on experience, location, and employer.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.

What are popular job titles related to Computer Science Finance jobs in Boston, MA?

For Computer Science Finance jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Boston, MA look for?

The top searched job categories for Computer Science Finance jobs in Boston, MA are:

Infographic showing various Computer Science Finance job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,635 per year, or $48.4 per hour.

Senior Business Analyst (Banking & Financial Services experience)

Talent Groups

Boston, MA โ€ข On-site

$100K - $129K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary

We are seeking an experienced Senior Business Analyst with a strong background in Banking and Financial Services to bridge the gap between business stakeholders and technology teams. The ideal candidate will have extensive experience gathering and documenting business requirements, analyzing data, mapping business processes, facilitating workshops, and supporting Agile software delivery.

Required Qualifications

  • Bachelor''''''''s degree in Business, Information Systems, Computer Science, Finance, or a related field.
  • 7+ years of Business Analysis experience within Banking or Financial Services.
  • Strong experience gathering, documenting, and managing business and functional requirements.
  • Experience with data analysis, data mapping, and SQL for validating business data.
  • Strong knowledge of Agile, Scrum, Lean, or Kanban software development methodologies.
  • Experience creating process flows, workflow diagrams, and business documentation using Visio, Lucidchart, or similar tools.
  • Experience facilitating workshops, stakeholder meetings, and requirements elicitation sessions.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

  • Experience working on enterprise banking platforms and digital transformation initiatives.
  • Knowledge of financial products, banking operations, or payment systems.
  • Experience collaborating with Product Owners, Technology Teams, and Business Stakeholders.
  • Familiarity with reporting, dashboards, and business intelligence tools.
  • Agile or Business Analysis certifications (CBAP, PMI-PBA, SAFe, Scrum) are a plus.