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

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 ...

Bachelor's degree in Business, Risk Management, Data Analytics, Information Technology, Computer Science, Finance, or a related field * Minimum 5 years of experience in risk management, governance ...

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

Showing results 21-40

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 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.

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:

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.

Equity Derivatives Structuring [Multiple Positions Available]

JPMorgan Chase & Co.

Manhattan, NY • On-site

$300K - $350K/yr

Full-time

Medical, Retirement

Posted 14 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description


DESCRIPTION:
Duties: Design, price, and structure equity derivative products for institutional clients, including put knock-outs on realized variance, variance swaps, knock-out variance swaps, cliquets, barrier options, and lookback options. Develop structured notes, accumulators, and autocallables for retail clients. Pitch products to a wide range of institutional clients. Define payoff specifications, modeling assumptions, constraints, and economic terms. Prepare term sheets and transaction documentation to support risk governance and approvals. Implement quantitative pricing and risk models. Perform scenario and sensitivity analysis to evaluate payoff behavior and risk characteristics across market regimes. Present comparative analyses to stakeholders to guide product selection. Coordinate with cross-functional teams to progress products through approval workflows and execution, ensuring alignment with control requirements and timelines. Maintain and update pricing libraries and analytical tooling. Prepare internal analyses and client facing materials that explain payoff mechanics, risk profiles, and transaction economics in decision ready formats. Monitor risk sensitivities and exposures around issuance and lifecycle events; recommend hedging adjustments and follow up actions to trading teams. Support transaction execution by validating inputs, confirming pricing outputs, and resolving issues arising during booking, trade capture, and settlement processes. Review post trade outcomes and model performance. Drive improvements to pricing logic, data inputs, controls, and operating procedures to enhance accuracy and efficiency. This position requires up to 10% domestic and international travel to JPMC and client sites.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study plus 7 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation. The employer will alternatively accept a Bachelor's degree in Mathematics of Finance, Computer Science, Finance, Financial Engineering, Economics, Mathematics, Statistics, or related field of study plus 9 years of experience in the job offered or as Equity Derivatives Structuring, Equity and Hybrids Derivatives Payoff Structuring, or related occupation.
Skills Required: This position requires five (5) years of experience with the following: designing, pricing, and structuring equity and hybrid derivatives, including light exotic payoffs, structured notes, and synthetic convertible bonds, and coding payoffs in C++, Python, VBA, and Bloomberg DLIB; building Excel VBA models to support pricing, risk analysis, and term sheet calculations for structured products; applying Python for statistical analysis, back testing, optimization methodologies, and performance evaluation of derivative strategies; constructing and validating Monte Carlo simulation models to evaluate payoff distributions, Greeks measures, and transaction economics; calibrating and applying local and stochastic volatility, stochastic rates, and jump calibration frameworks to market data for pricing and risk assessment of derivatives; preparing client facing pitch materials and internal documentation that describe payoff mechanics, risks, and transaction economics to support approvals and execution. This position requires four (4) years of experience with the following: developing and maintaining quantitative pricing tools using Python and C++ to model path dependent payoffs and produce scenario analyses; developing hedging strategies to regulate delta, gamma, vega, and correlation exposures using listed options, futures, and related instruments. This position requires two (2) years of experience with the following: writing SQL queries to retrieve, join, aggregate, and prepare pricing and positioning datasets for analytics and reporting; using KDB/q and Bloomberg to manage time series market data, construct pricing inputs, and validate reference data for model calibration.
Job Location: 270 Park Avenue, New York City, NY 10017. This position requires up to 10% domestic and international travel to JPMC and client sites.
Full-Time. Salary: $300,000 - $350,000 per year.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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