ZipRecruiter

Log In

2

Quant Python Remote Jobs (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA ยท On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Familiarity with PySpark and Python * Comfortable developing complex SQL queries to extract ...

Catch Talent

Sr. DevOps Engineer

New York, NY ยท On-site +1

$57.75 - $79/hr

ABOUT THE COMPANY Our client is a leading quantitative trading firm with a 25+ year track record of ... remote execution. * Experience designing reproducible Python environments and internal package ...

NinjaHoldings

Data Scientist

Chicago, IL ยท On-site +1

$90K - $130K/yr

Programming experience with Python * Strong quantitative and problem-solving skills with key ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

NinjaHoldings

Data Scientist

Chicago, IL ยท On-site +1

$90K - $130K/yr

Programming experience with Python * Strong quantitative and problem-solving skills with key ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

previous page

Showing results 41-60

All Jobsremote JobsTechnology JobsSoftware JobsQuantitative Developer JobsQuant Python Remote Jobs

Quant Python Remote information

See salary details

$13

$58

$86

How much do quant python remote jobs pay per hour?

As of Aug 20, 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 is a Quant Python Remote?

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 are the key skills and qualifications needed to thrive as a Quant Python Remote professional?

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 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:

What job categories do people searching Quant Python Remote jobs look for?

The top searched job categories for Quant Python Remote jobs are:

Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Scientist (Remote)

Elder Research

Arlington, VA โ€ข On-site, Remote

Full-time

PTO

Re-posted 7 days ago

Job description

Job Title: Data Scientist
Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
Clearance Required: a TS or CBP BI or DHS Suitability clearance adjudicated within the past 4 years
Position Overview:
Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
Requirements:
  • MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations
  • Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)

Preferred Experience and Skills:
  • Expertise using Qlik to embed visualizations into webpages
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Familiarity with PySpark and Python
  • Comfortable developing complex SQL queries to extract, transform, and load data

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a ๏ฟฝTech Talk๏ฟฝ and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

Apply