ZipRecruiter

Log In

1

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

Rch

Research Computational Scientist II

Campus, IL · On-site

$132K - $164K/yr

... financial health of the organization. These computational solutions will include development of new statistical, machine-learning, and artificial intelligence algorithms, improvement of existing ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

... financially to deliver on our strategic goals. At Ionis, we pride ourselves on cultivating a ... DIRECTOR, COMPUTATIONAL BIOLOGY SUMMARY: We are seeking an exceptional computational biologist to ...

Kitware

Computational Imaging Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Computational Imaging Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

next page

Showing results 1-20

All JobsComputational Finance Jobs

Computational Finance information

See salary details

$40

$54

$74

How much do computational finance jobs pay per hour?

As of Jul 12, 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 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 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.

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 July 2026, with employment types broken down into 2% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Data Analyst

Data Analyst

CharterUP

Austin, TX • Hybrid

$70K - $75K/yr

Other

Medical, Retirement

Re-posted 23 days ago

Job description

Title: Data Analyst

Reports to: Head of Business Intelligence, Finance and Accounting   

Location: Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO. 

About the Role

CharterUP is seeking an early career Data Analyst to join our Finance BI team, someone eager to tackle data challenges and assist in meeting the reporting and analytics needs of teams throughout the organization. This role's deliverables will have a high impact, with visibility to leadership.

Responsibilities

  • Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports.
  • Perform data analysis to identify trends, patterns, and insights that will guide business strategy and decision-making.
  • Develop and maintain dashboards and reports to track key business metrics.
  • Collaborate with cross-functional teams to support data-driven projects and initiatives.
  • Conduct statistical analysis and model data to predict future trends and performance.
  • Present findings, recommendations, and insights in a clear and concise manner to non-technical stakeholders.

Experience and Expertise

  • Bachelor's and Master's degrees.  Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering
  • 1+ years industry experience as Data Analyst
  • Proficiency in SQL, Python or equivalent
  • Proficiency in Excel/Google Sheets
  • Strong knowledge of data visualization tools like Tableau, Power BI, or similar platforms is a plus.
  • Familiarity with any of the following is a plus: Redshift or Snowflake, dbt, Fivetran, Salesforce and tools like 6sense.
  • Experience with data manipulation, cleaning, and transformation techniques.
  • Strong communication skills with the ability to present data insights to diverse audiences.
  • Ability to work independently and manage multiple tasks.

Recruiting Process

  • Step 1 - Wonderlic Assessment
  • Step 2 - Video call: Talent Acquisition interview 
  • Step 3 - Video call: Interview with Head of BI - Finance
  • Step 4 - Video call: Team interview
  • Step 5 - Video call: Final Interview with CFO
  • Step 6 - Offer & Background check
  • Welcome aboard!

Compensation

  • $70,000 - $75,000 base salary
  • Comprehensive benefits package, including fully subsidized medical benefits for the employee
  • 401(k) plan

Apply