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Financial Computing Jobs (NOW HIRING)

Pfizer

You will work with HPC engineers and scientific computing specialists to develop robust, scalable ... Familiarity with other aspects of managing HPC services in a cloud environment: cloud financial ...

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Financial Computing information

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$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
What job categories do people searching Financial Computing jobs look for? The top searched job categories for Financial Computing jobs are:
Financial Computing jobs near you
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.
High Performance Computing (HPC) Engineer

High Performance Computing (HPC) Engineer

Federal Reserve Bank of San Francisco

Denver, CO

Full-time

Posted 6 days ago

Job description

CompanyFederal Reserve Bank of Kansas CityWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we're building a dynamic and diverse team for our future.

Important Information

  • Open to US Citizens, Green Card holders or Permanent Residents with at least 3 years of residency, with the intent to become a US citizen.

  • No sponsorship is available. Candidates must have valid work authorization, without an end date, to be considered.

  • This position requires working on-site, in Kansas City, Denver, Oklahoma City or Omaha, with 5 days per month work from home flexibility. Relocation assistance is available.

About the Role

The Center for the Advancement of Data and Research in Economics (CADRE) supports data and computationally intensive research and analytics for staff in the Economic Research division of the Federal Reserve Bank of Kansas City and across the Federal Reserve System. Our services include multiple high performance computing environments, research data warehousing, and advanced analytical tools. We are an embedded technology team within the division of Economic Research, Regional, and Community Affairs.

We are seeking an experienced High Performance Computing Engineer who can plan, implement, and maintain advanced cyberinfrastructure solutions. The ideal candidate will have deep expertise in HPC architectures, parallel computing frameworks, and scientific computing applications. You will work independently while collaborating with researchers to solve complex computational challenges that support critical economic research initiatives.

Key Activities

Operations

  • Design, deploy, configure, and administer medium scale HPC clusters and associated storage systems.

  • Monitor system health, performance metrics, and resource utilization to ensure optimal operation.

  • Implement robust security protocols and perform regular maintenance including upgrades and patching.

  • Troubleshoot complex hardware and software issues in a multi-user research environment.

  • Manage job scheduling and workload optimization using tools like SLURM.

  • Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions.

Development

  • Design and implement innovative HPC solutions to address evolving research requirements.

  • Create and maintain automation scripts and tools to streamline system administration.

  • Optimize scientific applications and computational workflows for performance.

  • Implement container technologies (Docker, Singularity) for reproducible research.

  • Support GPU computing and accelerator technologies for specialized workloads.

  • Define and track performance metrics to ensure efficient current and future use of resources.

Partnership/Collaboration

  • Partner closely with researchers to understand computational needs and translate them into technical solutions.

  • Collaborate with network, security, and data center teams to ensure integrated operations.

  • Build and maintain relationships with external vendors and technology partners.

  • Participate in the HPC community to stay current with emerging technologies and best practices.

  • Serve as a technical advisor on infrastructure planning and technology roadmaps.

Documentation/Training

  • Develop comprehensive documentation for systems, policies, and procedures.

  • Create user guides and training materials for researchers utilizing HPC resources.

  • Provide mentorship to junior staff and knowledge sharing across teams.

  • Conduct workshops and training sessions on effective use of HPC resources.

Qualifications

Required

  • Bachelor's degree in computer science, engineering, mathematics, or related field, or equivalent combination of education and experience.

  • Minimum of 6 years of relevant experience in HPC administration and systems engineering.

  • Extensive experience with Linux operating systems (Red Hat/CentOS) in an HPC environment.

  • Strong command line skills and proficiency in scripting languages (Python, Bash).

  • Experience with job scheduling systems (SLURM, PBS, LSF) and resource management.

  • Knowledge of parallel file systems and storage technologies (e.g. ceph, GPFS, Lustre, BeeGFS).

  • Familiarity with parallel programming models (MPI, OpenMP) and scientific computing frameworks.

  • Experience with configuration management and automation tools (Salt, Ansible, Puppet).

  • Demonstrated problem-solving abilities and analytical thinking.

Preferred

  • Advanced degree in a computational field.

  • Experience with cloud computing platforms and hybrid HPC environments.

  • Experience with GitLab CI/CD pipelines for research software development.

  • Understanding of GPU computing and accelerator technologies (CUDA, OpenACC).

  • Experience supporting machine learning and AI workloads on HPC systems.

Additional Information

How We Work (HWW)

  • On-site: 5 days per month remote work flexibility

  • Location: Kansas City, Denver, Oklahoma City, or Omaha

  • Remote Eligible: No

  • Relocation Assistance: Yes

Salary

  • $110,300 - $155,700 / Senior Level

  • $125,200 - $176,700 / Advanced Level

  • $139,500 - $196,800 / Expert-Lead Level

  • Final offers are determined by factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.

Screening: US Citizens and Green Card holders or Permanent Residents with at least 3 years of residency, with the intent to become a US citizen. This position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and could take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.

Sponsorship: The Federal Reserve Bank of Kansas City will not sponsor a new applicant for employment authorization for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

About Us

  • Total Rewards & Benefits

  • Who We Are

  • What We Do

Follow us on LinkedIn, Instagram, X (formerly Twitter), and YouTube #KCFedIT

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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