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Quant Python Remote Jobs (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Familiarity with PySpark and Python * Comfortable developing complex SQL queries to extract ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Familiarity with PySpark and Python * Comfortable developing complex SQL queries to extract ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Bachelor's degree in a quantitative or business discipline (e.g., math, statistics, finance ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

$115K - $160K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Bachelor's degree in a quantitative or business discipline (e.g., math, statistics, finance ...

Tech Tammina

Vehicle Data & Quality Analyst

Fully remote - can work remote anywhere, but the whole team runs on PST time zone Must have skills: Working knowledge of Python Ability to conduct quantitative and qualitative analyses Organized ...

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How much do quant python remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for quant python remote in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
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Quant Python Remote jobs near you
Software Engineer, Quantitative Evaluations

Software Engineer, Quantitative Evaluations

Waymo

Mountain View, CA • On-site, Remote

$170K - $216K/yr

Other

Posted 3 days 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

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