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Computer Science Finance Jobs in Manhattan, NY (NOW HIRING)

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Computer Science Finance information

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$27.6K

$102.2K

$149.5K

How much do computer science finance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computer science finance in Manhattan, NY is $102,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $120,300.00 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.
More about Computer Science Finance jobs

What are popular job titles related to Computer Science Finance jobs in Manhattan, NY?

For Computer Science Finance jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Manhattan, NY look for?

The top searched job categories for Computer Science Finance jobs in Manhattan, NY are:

Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Manhattan, NY 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 $102,230 per year, or $49.1 per hour.

Data Scientist, Finance Data & Insights

Spotify

Manhattan, NY • On-site

$117 - $167/hr

Other

Medical, Retirement, PTO

Posted 7 days ago

Job description

We are looking for a Data Scientist to join the Finance Data & Insights organization. You will support the Legal and Finance organizations through data analytics and ad-hoc reporting, while using your experience to improve data self-service capabilities and automation through AI tooling. You will also contribute to process automation and provide technical and data guidance to Legal and Finance partners.

What You’ll Do
  • Gain and apply a deep understanding of Spotify’s data ecosystem to support operational data requirements for legal requests
  • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and maintain systems and processes that support Legal and Finance
  • Partner with engineering teams to gather requirements and generate outputs for technically complex matters
  • Work with large datasets to solve complex problems in a fast-paced and dynamic environment
  • Improve process efficiency through automation and the delivery of data pipelines that strengthen existing self-service reporting and analytics
  • Collaborate with highly motivated colleagues who are passionate about Spotify’s success
Who You Are
  • You have a passion for solving complex problems through data analysis, combined with strong business acumen and excellent communication skills
  • You can communicate effectively with both technical and non-technical teams to understand problems and articulate proposed solutions
  • You can draw meaningful conclusions from analysis and investigations that inform business decisions
  • You have experience validating datasets and outputs created by other teams or members of your team
  • You can identify opportunities to make processes more efficient and translate common workflows into feature requirements
  • You have 4+ years of experience in data analytics, including relevant experience with financial and/or legal data
  • You have a degree in information systems, computer science, finance, mathematics, or another quantitative discipline
  • You have experience performing analysis across large and complex datasets
  • You have strong SQL knowledge and experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL capabilities
Where You’ll Be
  • This role is based in New York.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
  • We ask that you come in 2–3 times per week.

The United States base range for this position is $116,994–$167,135, plus equity.

  • The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.

These ranges may be modified in the future.

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