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

Canoe Intelligence

Sr. Data Scientist

Manhattan, NY · On-site +1

Bachelor's or Master's degree in Data Science, Finance, Economics, Computer Science, or a related field. Preferred: * Experience with AWS, Snowflake, Postgres, and MySQL. * Familiarity with financial ...

MAP SSG

Fintech Analyst

Manhattan, NY

$90K - $120K/yr

Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or a related field. Advanced degree (MS in Analytics/Data Science/Finance) is a plus * 3-5+ years of ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Manhattan, NY

Computer Science Finance information

See Manhattan, NY salary details

$27.6K

$102.2K

$149.5K

How much do computer science finance jobs pay per year?

As of Jul 29, 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.

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

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.

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.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

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 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.

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 July 2026, with employment types broken down into 4% Internship, 74% Full Time, 8% Part Time, and 14% Contract. Highlights an 86% In-person, 6% Hybrid, and 8% Remote job distribution, with an average salary of $102,230 per year, or $49.1 per hour.

Equity Finance Developer

ITech Recruiting

Manhattan, NY

Full-time

Posted 9 days ago

Job description

RESPONSIBILITIES
Provide technology development and support for the ITEC DEAI Equity Finance team. Candidate should have experience working with real-time and batch transaction processing systems and knowledge of trading and settlement systems. Candidate should have experience with the full project development life cycle within NT/Unix environments.
Candidate will be responsible for the analysis, design, programming and unit testing of software enhancements and projects, as well as production support for existing applications and processes. Candidate will also be responsible for performing research on production issues as they arise, and will be required to work with the user community to clarify requirements, validate test results and respond to requests for support. Documentation of all development will be required, with turnover of processes to our production support team.
Specific applications development and support responsibilities will apply to front and back office equity finance systems.
TECHNICAL SKILLS
Required/Must have:
Java, J2EE, XML, HTPP, JavaScript
MS SQL Server
Database modeling
Windows and Unix Shell/Perl scripting
NT/XP/MS Office Suite
Desired/Plus:
Middleware (Corba, MQ, Tuxedo)
Oracle/Sybase
Application Servers (Weblogic, JBoss)
Visual Basic
Unix / Linux
BUSINESS KNOWLEDGE
Required/Must have:
Knowledge of trading and brokerage operations – front to back
Lending and Borrowing concepts
Clearance/Settlement concepts
Desired/Plus:
Compliance experience
Derivatives experience
MANAGEMENT SKILLS (if any)
Desired/Plus:
Technology Project Management
COMPETENCIES
Required/Must have:
• Clear written and verbal communication skills, appropriate to a given audience, (technical, functional, etc.)
• Must be a self-starter who is comfortable working in a very dynamic environment, with rapidly changing priorities.
• Excellent problem solving skills.
• Must be able to interact with a variety of teams – support, infrastructure, development.
• Must be able to provide accurate estimation of work effort, and effective status to management as well as clients.
PRIOR WORK EXPERIENCE
Required/Must have:
• Equities front/back office applications experience in the brokerage industry
• Full project life cycle experience
• Production support experience
• Experience providing documentation to both technical and client audiences
• Approximately 3-5 years of work experience
Desired/Plus:
Derivatives systems experience
Compliance surveillance software experience
EDUCATION
Required/Must have:
BS in Computer Science/Finance or related field