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Computational Finance Jobs (NOW HIRING)

CharterUP

Data Analyst

Austin, TX · Hybrid

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

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Computational Finance information

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$40

$54

$74

How much do computational finance jobs pay per hour?

As of Jun 22, 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:
What job categories do people searching Computational Finance jobs look for? The top searched job categories for Computational Finance jobs are:
Computational Finance jobs near you
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.

Member of Technical Staff - Computational Biology

Phylo

South San Francisco, CA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology.
About the role
We're hiring a computational biologist with industry experience to partner closely with our enterprise customers and raise the scientific bar of our agents. You'll work directly with biotech and pharma teams adopting Biomni Lab, translate their workflows into agent capabilities, and make sure outputs hold up under real scientific scrutiny.
Part of the role is constructing the bio skills our agents rely on: building and curating the biomedical workflows, tools, and data integrations that power them. The other part is evaluating agent performance by designing evaluation pipelines and benchmarks that measure whether agents meet the standards of working scientists.
What You'll Work On
  • Partner with enterprise customers in biotech and pharma to understand their scientific workflows and bring those needs into the product.
  • Construct bio skills for our agents: build and curate biomedical workflows, tools, databases, and data integrations that expand what agents can do.
  • Evaluate agent performance across biomedical domains through internal benchmarks, structured evals, and direct scientific review.
  • Validate the scientific accuracy and rigor of agent outputs and drive improvements back into the product with the AI team.
  • Serve as the scientific voice in customer engagements, deployments, and feedback loops.

Requirements
  • Industry experience in biotech or pharma (computational biology, bioinformatics, or a closely related function).
  • PhD training as a computational biologist, with strong command of common biomedical tools, databases, and analytical workflows.
  • Solid engineering skills: writing code, building pipelines, and working with biological data at scale.
  • Comfort working directly with enterprise customers and translating their scientific needs into technical requirements.
  • Ability to move quickly in a fast-paced research and product environment.

Nice to Have
  • AI-native working style; fluent with modern AI coding tools and agent-based workflows.
  • Experience with LLMs, agents, or AI/ML systems applied to biomedical problems.
  • Broad experience across multiple biomedical domains (e.g., genomics, proteomics, drug discovery, clinical data).

Why Join Us?
  • Competitive salary and equity share in building the future of biomedical discovery
  • Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
  • 401(k) to help you build long-term financial security (US only)
  • Unlimited PTO to recharge when you need it (US only)
  • Lunch and snacks when you're in the office
  • Regular team offsites and company events
  • A culture of excellence and speed - we move fast, think big, and support each other every step of the way
  • Your work will directly impact our mission to 100X biomedical discoveries through AI

Apply