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Quant Python Remote Jobs (NOW HIRING)

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

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 ...

Crypto.com

Quant Researcher, OEX

$100K - $230K/yr

Proficient in Python and SQL or noSQL data structures, data models, and database management ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Crypto.com

Quant Researcher, OEX

Charleston, WV · Remote

Proficient in Python and SQL or noSQL data structures, data models, and database management ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Write Python scripts to perform statistical analysis, automate data pipelines, and integrate ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Write Python scripts to perform statistical analysis, automate data pipelines, and integrate ...

Ambitionary

Quantitative Modeler

San Francisco, CA · On-site +1

... Job Location Remote Time Commitment Less than 20 hours per week, but gradually growing Type of ... Must be proficient in Python and familiar with distributed computing frameworks (e.g. Spark)

Crypto.com

Quant Trader (VP)

$300K - $450K/yr

Proficient in Python, C++, or Java; enthusiastic about deepening technical expertise in a high ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Crypto.com

Quant Trader (VP)

Charleston, WV · Remote

Proficient in Python, C++, or Java; enthusiastic about deepening technical expertise in a high ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

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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

Senior Quant Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 5 days ago

Job description

Senior Quant Developer
Remote USA
Mandatory skills: Python OR C++, Monte Carlo simulation, quantitative background, derivatives pricing models and risk model back testing experience
Skills:
Minimum degree of Master or PhD in quantitative fields is required, with at least 3-5 years of relevant experience.
The candidate must have strong quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
Must have experience implementing complex market or credit risk quantitative modelling for OTC derivatives using programming languages (such as Python and C++) as well as mathematical/statistical software packages.
Knowledge of derivatives pricing models (Black Scholes, Hull White), Monte Carlo simulation, and risk model back testing experience is also a must.
Nice to have:
The candidate is preferred (a plus) to have experience in credit risk modelling and is familiar with credit risk concepts such as PFE (Potential Future Exposure), CSA, MPOR, collaterals IM and VM, and Monte Carlo simulation of long-time horizons.

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