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Quant Python Remote Jobs (NOW HIRING)

Alignerr

$40 - $80/hr

Quantitative Analyst (Quant) $40-80/hr Remote Freelance STEM About the Role What if your ... Hands-on experience with Python, R, or quantitative modeling libraries (NumPy, pandas, statsmodels ...

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio Capital Location: New ... Write efficient code in languages such as Python, R, C++, or Java to develop, maintain, and ...

Old Mission

Python Software Engineer

New York, NY · On-site +1

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... In office M-F with 10 remote days per year Base Salary Range $150,000 - $225,000 - Salaries are ...

Old Mission

Python Software Engineer

Chicago, IL · On-site +1

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... In office M-F with 10 remote days per year Base Salary Range $150,000 - $225,000 - Salaries are ...

Old Mission Capital

Python Software Engineer

Chicago, IL · On-site +1

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... In office M-F with 10 remote days per year Base Salary Range $150,000 - $225,000 - Salaries are ...

Artech

$60 - $65/hr

Quantitative UX Researcher- Quantitative Focus (PhD-level) Do something big and innovative! Stretch ... Utilize R and/or Python to manipulate, query, and analyze large-scale datasets efficiently.

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How much do quant python remote jobs pay per hour?

As of May 28, 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 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 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.

More about Quant Python Remote jobs
What cities are hiring for Quant Python Remote jobs? Cities with the most Quant Python Remote job openings:
What states have the most Quant Python Remote jobs? States with the most job openings for Quant Python Remote jobs include:
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Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Remote Quant Arb Engineer | Python/Solidity Trading Systems

Crypto Pro Network

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading cryptocurrency trading firm in the United States is seeking a Senior Quant Engineer. This role focuses on architecting and deploying automated trading systems, ensuring reliability and risk management. Ideal candidates will have strong Python and Solidity skills, along with experience in building fault-tolerant trading infrastructure.

This position offers remote work in a high-performing team dedicated to innovation and business impact. #J-18808-Ljbffr

Apply