1

Financial Computing Jobs (NOW HIRING)

UKCEH is looking for two IT Science Computing Engineers to join our team of talented individuals ... financial incentives and wellbeing-orientedperks, such as: * 27 days annual leave (rising to 29 ...

UKCEH is looking for two IT Science Computing Engineers to join our team of talented individuals ... financial incentives and wellbeing-orientedperks, such as: * 27 days annual leave (rising to 29 ...

UKCEH is looking for an IT Science Computing Team Lead to join our team of talented individuals ... financial incentives and wellbeing-orientedperks, such as: * 27 days annual leave (rising to 29 ...

UKCEH is looking for an IT Science Computing Team Lead to join our team of talented individuals ... financial incentives and wellbeing-orientedperks, such as: * 27 days annual leave (rising to 29 ...

next page

Showing results 1-20

Financial Computing information

See salary details

$38.5K

$95.5K

$146K

How much do financial computing jobs pay per year?

As of Jun 16, 2026, the average yearly pay for financial computing in the United States is $95,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What jobs pay 200,000 a year in the USA?

In financial computing, roles such as quantitative analysts, financial engineers, and senior software engineers can earn $200,000 or more annually, especially with experience, advanced skills in programming, and relevant certifications like CFA or FRM. These positions often require strong analytical abilities, proficiency in programming languages like Python or C++, and work in high-pressure environments such as investment banks or hedge funds.

How does a Financial Computing professional typically collaborate with other teams in a financial institution?

Financial Computing professionals often work closely with quantitative analysts, risk managers, and IT departments to develop and implement financial models and trading algorithms. Collaboration is key, as they must ensure that computational solutions align with both business strategies and regulatory requirements. Regular meetings, cross-functional project teams, and direct communication with traders or portfolio managers are common, allowing for quick adaptation to changing market conditions and the integration of new technologies. Effective teamwork enhances both the accuracy and speed of financial decision-making processes.

What is the highest paid job in computing?

In computing, roles such as Chief Technology Officer (CTO), Solutions Architect, and Data Science Director tend to be among the highest paid, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in areas like cloud computing, cybersecurity, or data management.

What is financial computing?

Financial computing is a field that combines finance, mathematics, and computer science to develop algorithms, models, and software for financial analysis and decision-making. Professionals in this area use programming and quantitative techniques to solve complex financial problems, such as pricing securities, managing risk, and optimizing portfolios. Financial computing is essential in areas like investment banking, trading, risk management, and financial technology (FinTech). It often involves working with large datasets, financial modeling, and implementing systems for high-frequency trading or algorithmic trading.

What jobs pay $2000 a day?

In financial computing, high-paying roles such as quantitative traders, hedge fund managers, and senior financial engineers can earn $2000 or more per day through bonuses, profit sharing, or high base salaries. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling or algorithm development. Compensation varies based on performance, firm size, and market conditions.

What are the key skills and qualifications needed to thrive in Financial Computing, and why are they important?

To thrive in Financial Computing, you need strong quantitative analysis, programming skills (often in Python, C++, or R), and a solid understanding of finance, typically backed by a degree in finance, computer science, or a related field. Familiarity with financial modeling software, databases like SQL, and tools such as MATLAB or Bloomberg Terminal is highly valued, as are certifications like CFA or FRM. Exceptional problem-solving abilities, attention to detail, and effective communication skills help professionals distinguish themselves in this field. These competencies are crucial for developing robust financial systems, analyzing complex data, and supporting sound decision-making in fast-paced financial environments.

What is the difference between Financial Computing vs Financial Analyst?

AspectFinancial ComputingFinancial Analyst
Required CredentialsDegree in Computer Science, Finance, or related fields; programming skillsDegree in Finance, Economics, or Business; analytical skills
Work EnvironmentTech-focused teams, quantitative departments, financial institutionsInvestment firms, banks, corporate finance departments
Employer & Industry UsageFinancial technology firms, banks, hedge fundsAsset management, banking, corporate finance

Financial Computing involves developing and implementing computational models and algorithms to analyze financial data, often requiring programming and technical skills. Financial Analysts focus on evaluating financial data, preparing reports, and providing investment recommendations. While both roles work within the finance industry, Financial Computing is more technical and programming-oriented, whereas Financial Analysts emphasize data interpretation and decision-making.

Is Computational Finance a good career?

Computational finance is a strong career choice for those interested in applying mathematical models, programming, and data analysis to financial markets. It offers high earning potential, demand for quantitative skills, and opportunities in investment banks, hedge funds, and financial technology firms. Success typically requires proficiency in programming languages like Python or C++, along with a solid understanding of finance and risk management.
More about Financial Computing jobs
Infographic showing various Financial Computing job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 17% Full Time, and 77% Part Time. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $95,505 per year, or $45.9 per hour.
Quantum Computing Research Scientist - Senior Associate

Quantum Computing Research Scientist - Senior Associate

JPMorgan Chase & Co

Manhattan, NY

$108K - $138K/yr

Full-time

Medical, Retirement

Posted 22 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join a world-class team at the frontier of quantum computing, where your research directly shapes the future of financial technology. At JPMorganChase, you will have the resources, partnerships, and scale to turn theoretical breakthroughs into real-world impact. This is a rare opportunity to grow your career at the intersection of cutting-edge science and one of the world's most influential financial institutions.

As a Quantum Computing Research Scientist in the Global Technology Applied Research team, you will work across the full spectrum of quantum computing - from foundational theory and numerical simulation to hardware experimentation and financial applications. You will collaborate with leading hardware partners and internal stakeholders to tackle some of the most complex computational challenges in finance. We value intellectual curiosity, rigorous thinking, and the ability to bridge deep technical expertise with meaningful, real-world impact.

Job responsibilities

  • Lead original research in quantum computing spanning algorithms, error correction, compilation, simulation, or financial applications, and publish results in top-tier academic venues
  • Collaborate with quantum hardware partners to design and execute experiments on partially and fully fault-tolerant quantum devices
  • Partner with lines of business to identify, formalize, and solve high-value computational problems using quantum and advanced classical methods
  • Develop and maintain scientific software for algorithm development, circuit compilation, simulation, and benchmarking

Required qualifications, capabilities, and skills

  • Ph.D. in computer science, physics, mathematics, or a related field with a research focus in quantum computing
  • Strong publication record in at least one of the following: quantum algorithms, quantum error correction, quantum complexity theory, quantum simulation, or computational finance
  • Proficiency in Python, C++, or Julia
  • Clear written and verbal communication skills with the ability to convey technical concepts to both specialist and non-technical audiences

Preferred qualifications, capabilities, and skills

  • Experience with scientific computing and numerical methods
  • Familiarity with quantum error-correcting codes - including surface, color, or other topological codes - and fault-tolerant circuit design
  • Knowledge of quantum algorithms applied to financial problems such as optimization or risk analysis
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

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom