1

Computational Finance Jobs (NOW HIRING)

Vice President

New York, NY · On-site

$165K - $220K/yr

Master's degree (US or Foreign Equivalent) in Financial Engineering, Computational Finance, or related field and two (2) years of experience in job offered or related role OR Bachelor's degree (US or ...

D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or a related field. * 10+ years of experience in quantitative research, algorithm design, or computational finance, with at ...

next page

Showing results 1-20

Computational Finance information

See salary details

$40

$54

$74

How much do computational finance jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for computational finance in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is Computational Finance?

Computational finance is a field that applies mathematical models, algorithms, and computer programming to analyze financial markets and manage risk. Professionals in this area develop and implement quantitative methods using tools like programming languages and statistical software to support trading, investment strategies, and financial decision-making.

What is a Computational Finance job?

A Computational Finance job involves using mathematical models, statistical techniques, and computer algorithms to analyze financial markets, assess risks, and develop trading strategies. Professionals in this field work with large datasets, implement quantitative models, and may develop software for pricing derivatives, portfolio optimization, or algorithmic trading. These roles are common in investment banks, hedge funds, asset management firms, and financial technology companies. Strong programming skills (e.g., Python, C++, R) and knowledge of finance and mathematics are essential for success in this career.

What jobs make $1,000,000 a year?

In computational finance, roles such as quantitative hedge fund managers, senior quantitative analysts, and chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management.

How much does a Computational Finance person make in the US?

In the US, professionals in computational finance typically earn between $80,000 and $150,000 annually, with salaries increasing with experience, education, and location. Entry-level roles may start around $70,000, while senior positions or those in major financial hubs can exceed $200,000, especially with advanced skills in programming, quantitative analysis, and financial modeling.

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

To thrive in Computational Finance, you need strong quantitative and analytical skills, expertise in financial theory, and typically a background in mathematics, statistics, computer science, or finance. Familiarity with programming languages such as Python, R, or MATLAB, experience with statistical modeling software, and knowledge of financial databases or certifications like CFA are highly valuable. Attention to detail, problem-solving ability, and effective communication make individuals stand out in this field. These skills are crucial for designing complex financial models, interpreting large data sets, and delivering actionable insights to support investment decisions.

Is Computational Finance a good career?

Computational finance is a strong career choice for those with skills in mathematics, programming, and finance, as it involves developing models and algorithms for financial analysis and trading. The field offers high earning potential, opportunities in investment banks, hedge funds, and financial technology firms, and often requires proficiency in tools like Python, R, or MATLAB. Job stability and growth depend on market conditions and individual expertise, making continuous learning important.

What are some typical projects or responsibilities for professionals in Computational Finance?

Professionals in Computational Finance often work on developing and implementing quantitative models for trading strategies, risk management, and pricing of complex financial instruments. They may spend their day analyzing market data, running simulations, optimizing algorithms, and collaborating with traders, risk managers, and software developers. Many roles also involve creating tools to automate workflows and improve the accuracy of forecasts. This work environment is highly collaborative and fast-paced, providing opportunities to contribute directly to financial decision-making and innovation within the company. Over time, successful professionals can progress to lead analysis teams or specialize further in areas such as algorithmic trading or financial engineering.

More about Computational Finance jobs
What cities are hiring for Computational Finance jobs? Cities with the most Computational Finance job openings:
What are the most commonly searched types of Computational Finance jobs? The most popular types of Computational Finance jobs are:
What states have the most Computational Finance jobs? States with the most job openings for Computational Finance jobs include:
Infographic showing various Computational Finance job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Lead Computational Finance Scientist with Security Clearance

Lead Computational Finance Scientist with Security Clearance

MITRE Corporation

Fairfax, VA

Other

Posted 29 days ago


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE is currently seeking motivated and qualified applicants for a Computational Finance (CompFi) Scientist to join our Financial Innovation Laboratory (FINLab) and Model-Based Analytics Department (L144) in the Modeling and Simulation Innovation Center. In FINLab, our Computational Finance scientists provide expert analysis and consulting to our Federal Government clients in transforming their technologic and regulatory processes to enhance the safety, stability, and security of the US Banking System, market infrastructure, and Financial Markets. Join a highly skilled team executing research, performing analyses and advising multiple stakeholders. These studies of national significance will be executed in collaboration with industry, academic, and governmental experts and stakeholders. This provides us with unprecedented access to expertise, ideas, and data. You will be a critical Finance subject matter expert (SME) as part of a growing, agile, multidisciplinary team working with academics, the Financial Sector, and US Financial Regulators. Competitive applicants will have demonstrated expertise in the following areas: Financial Market Microstructure and Regulation, Payment Systems, Fintech, Regulatory Tech and Supervisory Tech, Financial Analytics, Market Modeling and Simulation, and Simulation-based Analysis. Roles & Responsibilities: * Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets
* Provide expert analysis and/or develop research proposals on issues related to improving financial regulation and banking supervision, adopting new technologies to support distributed ledger or faster payments, or implementing advanced financial analytics
* Understand US, mission partner, and adversary capabilities and assess potential threats to U.S. financial stability and security.
* Conduct analytic and simulation-based analyses using financial data to provide new insights which support policy-level decision making.
* Provide US Treasury and related sponsors with commercial and market analysis of national interest areas, and methodologies to identify mitigation alternatives Basic Qualifications: * Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years of experience; or equivalent combination of related education and work experience.
* Very strong academic credentials in quantitative or computational finance
* Experienced researcher as evidenced by a peer reviewed publication record.
* Experience and expertise in financial analysis and market modeling.
* Experience in designing and executing impactful research.
* Ability to bridge finance, computational, and data analytic domains.
* Experience working in a technical environment with multidisciplinary teams on critical national security challenges.
* Passion for developing new technology and analytics for solving national challenges.
* Excellent analytic writing and verbal/presentation skills to senior leaders.
* Experience or familiarity with visualizing multi-dimensional financial data or events, using tools such as Tableau, Plotly, ggplot2, matplotlib, seaborn, or D3.js.
* Demonstrated ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming language, e.g., Python (utilizing packages like scikit-learn, pandas, or dask), R (utilizing packages like caret, dplyr, or data.table), or other modern language.
* Ability to apply, modify and formulate algorithms and processes to solve computational financial problems.
* Ability to obtain and maintain Top Secret clearance
* This position requires a minimum of 50% hybrid on-site.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: * PhD in a quantitative discipline, with deep knowledge of financial markets and market dynamics.
* Experience with U.S. Treasury, Financial Regulators, or with the commercial side such as the Banking or Finance Industry.
* Experience performing novel market research and analyses. Scientific publication is expected.
* Research experience with the global financial system.
* Ability to bridge finance, computational, economics, and data analytic domains. While this position is centered upon financial systems and their dynamics, the ideal candidate will bring a multidisciplinary perspective, in terms of tools and techniques, to this that includes complex systems, complexity economics, or ergodic economics.
* Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines).
* Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J).
* Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development.
* Experience utilizing notebooks (e.g., Jupyter, R Markdown, Zeppelin).
* Experience developing interactive data visualizations using open-source technologies (e.g., Angular, Vue, React, D3.js) or other frameworks (e.g., Shiny). This requisition requires the candidate to have a minimum of the following clearance(s):
Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret Salary compensation range and midpoint:
$156,800 - $196,000 - $235,200 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

MITRE logo

About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

Social media