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

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. * Demonstrated ability to conduct independent research utilizing machine ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. * Demonstrated ability to conduct independent research utilizing machine ...

AmTrust Financial Services, Inc.

Analytics Lead

Jersey City, NJ · On-site

$114K - $135K/yr

  • Medical

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Bachelor's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field. * 6+ years of experience in analytics, business intelligence, or data science ...

Sullivan & Cromwell

Fintech Analyst

New York, NY · On-site

$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 Aug 20, 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.
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What are popular job titles related to Computer Science Finance jobs in Manhattan, NY?

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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.

Quantitative Researcher Intern

Point72

New York, NY

$120K - $180K/yr

Full-time, Internship

Re-posted 13 days ago

Job description

JOB RESPONSIBILITIES 

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

  • Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
  • Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
  • Analyzing very large data sets to extract features useful for predictive models.
  • Providing research assistance to the team.
  • Helping improve the team's research infrastructure.

DESIRABLE CANDIDATES

  • Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines.
  • Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and detail-oriented mindset.
  • Proficient in Python or C++, and Linux environment.
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Willing to take ownership of his/her work, working both independently and within a collaborative team.
  • Prior experience in the financial services industry is not required.
  • Commitment to the highest ethical standards.

The annual base salary range is $120000.00-$180000.00 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

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