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Quant Python Remote Jobs in Santa Clara, CA (NOW HIRING)

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Strong analytical and quantitative problem-solving ability. * Communicate and present at all levels ... Python, HTML, CSS, JavaScript, React, and other industry standard languages and frameworks. * 3-5 ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Job Duties: Design, build, and maintain ... quantitative discipline, and two (2) years of experience in the job offered or in a related ...

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Waymo

Software Engineer, Sensor/Imaging

Mountain View, CA · On-site +1

$204K - $259K/yr

Understand and evaluate internal and external quantitative image quality metrics, and apply them to ... Expertise in C++ and familiarity with Python * Familiarity with image signal processing SW and HW ...

Waymo

Software Engineer, Sensor/Imaging

Mountain View, CA · On-site +1

$204K - $259K/yr

Understand and evaluate internal and external quantitative image quality metrics, and apply them to ... Expertise in C++ and familiarity with Python * Familiarity with image signal processing SW and HW ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... Strong proficiency in Python * Hands-on experience with search engines (Opensearch or Elasticsearch)

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... Strong proficiency in Python * Hands-on experience with search engines (Opensearch or Elasticsearch)

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All JobsQuant Python Remote JobsQuant Python Remote Jobs in Santa Clara, CA

Quant Python Remote information

See Santa Clara, CA salary details

$15

$68

$101

How much do quant python remote jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for quant python remote in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 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.
What are popular job titles related to Quant Python Remote jobs in Santa Clara, CA? For Quant Python Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Santa Clara, CA look for? The top searched job categories for Quant Python Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Quant Python Remote jobs? Cities near Santa Clara, CA with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Senior Machine Learning Engineer, Simulation

Senior Machine Learning Engineer, Simulation

Waymo

Mountain View, CA • On-site, Remote

$204K - $259K/yr

Other

Posted 3 days ago

Job description

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 Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.

You will:

  • Report into the TLM for the Learned Metrics Team
  • Develop ML models that assess our autonomous vehicle's behavior.
  • Develop ML infrastructure to support performant models.
  • Collaborate across teams to bring state-of-the-art to production.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
  • 2+ years of experience building productionized ML models
  • Code and design skills: comfort building production systems (Python / C++)
  • Background in applied Deep Learning
  • A track record in improving model quality

We prefer:

  • 4+ years of experience building productionized ML models
  • Experience in reinforcement learning, transfer learning, or learning.
  • Experience with large scale data and models

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
$204,000—$259,000 USD

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