ZipRecruiter

Log In

1

Quant Data Jobs (NOW HIRING)

Glow Networks

Data Analyst

Mountain View, CA · On-site

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master's preferred. * 6-9 years of work experience involving quantitative data analysis.

Quanta Search

Quant Developer

Manhattan, NY · On-site

The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Quantitative developer ...

Quanta Search

Quant Developer

Manhattan, NY

The core of their effort is rigorous research into a widerange of market anomalies, fueled by our unparalleled access to a wide range of publiclyavailable data sources. Role: Quantitative developer ...

TikTok

Data Scientist, Quant Modeling

San Jose, CA · On-site

$136K - $292K/yr

You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience.

Quanta Search

Quant Trader/PM

New York, NY · On-site

... data sets supported by a dedicated data team Access to a highly skilled team of quantitative researchers, developers and data experts Quantitative Equities Requirements: Track record of at least 2 ...

Quanta Search

Quant Trader/PM

New York, NY · On-site

... data sets supported by a dedicated data team • Access to a highly skilled team of quantitative researchers, developers and data experts Quantitative Equities Requirements: • Track record of at ...

next page

Showing results 1-20

All JobsQuant Data Jobs

Quant Data information

See salary details

$98K

$169.7K

$259.5K

How much do quant data jobs pay per year?

As of Jun 15, 2026, the average yearly pay for quant data in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

Is 30 too late to become a quant?

Becoming a quantitative analyst or 'quant' is possible at age 30, as many professionals enter the field with backgrounds in mathematics, finance, or computer science. Success often depends on acquiring relevant skills such as programming in Python or C++, understanding financial models, and gaining experience through internships or certifications like CFA or CQF.

What is the difference between Quant Data vs Quant Analyst?

AspectQuant DataQuant Analyst
Required CredentialsBachelor's or Master's in Math, Statistics, or related fields; programming skillsSame as Quant Data, often with additional experience in financial modeling
Work EnvironmentData-focused, often in tech or finance firmsFinancial institutions, hedge funds, investment banks
Employer & Industry UsageTech companies, finance firms, data-driven organizationsPrimarily finance and investment sectors
Common Search & ComparisonYesYes

Quant Data professionals focus on collecting, processing, and managing large datasets, often with programming and data engineering skills. Quant Analysts analyze financial data to develop trading strategies and risk models. While both roles require strong quantitative skills and similar credentials, Quant Data roles are more data infrastructure-oriented, whereas Quant Analysts focus on financial analysis and modeling.

What jobs use quantitative data?

Quantitative data is used in a variety of jobs such as data analyst, financial analyst, statistician, and market researcher. These roles involve analyzing numerical data to inform business decisions, often requiring skills in statistical software, Excel, or programming languages like Python or R.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, with candidates often holding advanced degrees in related fields. The firm values experience with tools like Python, R, or MATLAB and may require relevant certifications or industry knowledge.

What are the key skills and qualifications needed to thrive as a Quant Data professional, and why are they important?

To thrive as a Quant Data professional, you need strong quantitative analysis skills, a background in mathematics, statistics, or computer science, and often an advanced degree such as a master's or PhD. Proficiency with programming languages such as Python, R, or MATLAB, and experience with data analysis tools, databases, and statistical modeling software are typical technical requirements. Critical thinking, attention to detail, and effective communication are standout soft skills for interpreting complex data and presenting actionable insights. These abilities are crucial for developing robust models, making informed decisions, and driving value in data-driven finance or research environments.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, and the firm, with skills in programming, mathematics, and finance being highly valued.

What are Quant Data professionals?

Quant Data professionals, often called quantitative data analysts or 'quants,' are experts who use mathematical, statistical, and computational techniques to analyze large datasets, primarily in finance and investment management. They develop models to inform trading strategies, risk management, and investment decisions by extracting actionable insights from complex data. Quants often work with programming languages like Python, R, or MATLAB, and have strong backgrounds in mathematics, statistics, or engineering. Their work is critical in algorithmic trading, portfolio management, and financial research.

What are some common challenges faced by Quant Data professionals when working with large financial datasets?

Quant Data professionals often encounter the challenge of efficiently processing and cleaning massive volumes of financial data, which can be noisy or incomplete. Ensuring data integrity and accuracy is critical, as even small errors can significantly impact model performance and trading decisions. Additionally, they must collaborate closely with software engineers and quantitative researchers to optimize data pipelines and integrate new data sources, all while maintaining compliance with data privacy regulations. Adapting to rapidly changing market conditions and continuously updating data models are also key aspects of the role.
Software Engineer, Quantitative Evaluations

Software Engineer, Quantitative Evaluations

Waymo

Mountain View, CA • On-site, Remote

$170K - $216K/yr

Other

Posted 2 hours ago

Job description

Software Engineer, Quantitative Evaluations

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

This role follows a hybrid work schedule and reports to a Sr. Staff Engineering Manager.

You will:

  • Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
  • Use simulation creatively and mine real world driving logs to measure driving performance.
  • Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
  • Champion code health and best practices in a large and complex code base.
  • Analyze data and make recommendations on how to improve metric quality and interpretability.
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
  • 1+ years of industry experience with:
    • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
    • Performing statistical analyses
    • Building data processing pipelines
    • Writing, reviewing, and merging code following industry standards for code health and maintainability
    • Quant/data fluency is a top requirement

We prefer:

  • Experience coding in C++
  • Experience with ML
  • Experience with A/B experiment infrastructure
  • Experience building and validating metrics to measure quality in complex systems
  • Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
  • Experience working in the AV industry

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $170,000—$216,000 USD

Apply