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Quant Python Remote Jobs (NOW HIRING)

Databento

Quantitative Sales

Chicago, IL · Remote

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.

Databento

Quantitative Sales

San Francisco, CA · On-site +1

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.

Luminate Works

Statistician

$70K - $80K/yr

Statistician (Quantitative Modeling & Simulation) Location: Remote / Virtual Salary: $70,000-$80 ... Proficiency in statistical or programming tools such as Python, R, SQL, or similar * Experience ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · On-site +1

$150K - $185K/yr

Expert proficiency in SQL and specialized applied programming packages such as R or Python for ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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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

Quantitative ML Consultant (Contract)

Quix Recruitment Group Ltd

Chicago, IL • Remote

Contractor

Posted 19 days ago

Job description

Quix Recruitment is partnering with a high-growth fintech firm to hire a Quantitative ML Consultant to design and implement advanced machine learning solutions for financial applications.
Key Responsibilities
  • Collaborate with quantitative researchers and team members to develop ML-driven strategies.
  • Build, test, and deploy statistical and ML models on production systems.
  • Optimize feature engineering pipelines and data workflows.
  • Advise on best practices for ML model validation and performance monitoring.
  • Share knowledge with team members and support project delivery.
Experience & Skills
  • Master’s or PhD in a quantitative field (CS, Statistics, Mathematics, or related).
  • 4+ years of experience applying ML in financial or data-intensive domains.
  • Expertise in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow).
  • Experience with cloud deployment, containerization, and large-scale data processing.
Competencies
  • Analytical thinker with strong problem-solving skills.
  • Self-motivated and organized in managing multiple projects.
  • Effective communicator and collaborative team player.
Contract Details
Duration: 9 months (with possible extension)
Hours: Full-time (remote, 40 hours/week)
Confidentiality Statement: At Quix Recruitment, we prioritise confidentiality throughout the recruitment process. We understand the sensitivity of exploring new career opportunities while currently employed. Rest assured that when you apply through Quix Recruitment, your application is kept completely confidential from both your current employer and the hiring company. If we determine that you might be a good fit for the position, we will arrange a confidential call with you to discuss the opportunity in more depth. Only after obtaining your permission will we share your CV with the hiring company.
Disclaimer: Please note that all personal information collected during the application process will be used for recruitment-related purposes only. We are committed to protecting your privacy and will not disclose your information to any third parties without your consent.