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

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

IDT

Data Scientist

San Jose, CA · Remote

Core Stack: * Python: Advanced use of Pandas, Numpy, and Scikit-learn for complex feature ... quantitative field (Computer Science, Statistics, Mathematics, or related). What we offer: * Remote ...

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 ...

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

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$68

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How much do quant python remote jobs pay per hour?

As of Jul 9, 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
Fraud Strategist, Quantitative

Fraud Strategist, Quantitative

PlayStation Global

San Mateo, CA • On-site, Remote

$138K - $178K/yr

Other

Posted 14 days ago

Job description

Fraud Strategist, Quantitative
San Mateo or San Diego, CA (hybrid)  
US Remote (considered) 

Role overview:

As a member of the Fraud Strategy team, you will analyze transactional and historical data using various methodologies to generate insights that optimize fraud prevention and payment decisioning. Your work will support our mission to enhance security and reduce friction, ensuring customers can safely log in, play, and make purchases across the PlayStation ecosystem. Through your domain expertise and a deep understanding of our data, your insights and analysis will play a pivotal role in our strategy for this area.

What you'll be doing:

  • Apply advanced mathematical, statistical, and computational methods to solve complex fraud and revenue optimization problems

  • Perform in-depth analysis to address key strategic areas in the customer journey, decipher analytical results, and deliver insights using hypothesis testing and experimental design

  • Perform ad hoc modelling and analysis to understand broad trends within and across our data, evaluate vendor solutions, and drive our roadmap strategy

  • Work closely with other Fraud Strategists, Data Scientists, and ML Engineers to collaborate on areas of opportunity

  • Share and simplify findings to tell stories of analyses through dashboards, reports, data visualisations, and other internal forums

What we're looking for:

  • 5+ years or equivalent in related quantitative analysis experience in a subject area relevant to fraud and payments

  • Solid technical skills in SQL, Python, or equivalent. Additional knowledge of data visualization tools (Tableau, Domo, etc.)

  • Bachelor's degree or equivalent experience in Economics, Finance, Statistics, Mathematics, Machine Learning, or other quantitative field

  • Solid understanding of financial, mathematical, and statistical theories and practices, and a deep understanding of the modelling process and model performance indicators

  • Experience with ML/AI models is a plus

  • Strong written and verbal communication

Desirable:

  • Experience in the video games industry

  • Advanced knowledge of fraud trends in digital payments, e-commerce, and online transactions

  • Language skills, particularly Japanese

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