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Quant Python Remote Jobs (NOW HIRING)

Databento

Quantitative Sales Associate

Chicago, IL · Remote

$14.50 - $19.50/hr

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 Associate

San Francisco, CA · On-site +1

$16.50 - $22.50/hr

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.

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 ...

Elder Research

Data Scientist (Remote)

... quantitative simulations and models to provide descriptive and predictive analytics solution ... and Python • Comfortable developing complex SQL queries to extract, transform, and load data ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · Remote

$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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · 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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · 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 ...

Osaic

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... Strong proficiency with analytics and data tools such as SQL, Snowflake, Python, R, Power BI, or ...

Osaic

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... Python, R, Power BI, or similar platforms Exposure to AI and machine learning tools and their ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

$115K - $160K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Bachelor's degree in a quantitative or business discipline (e.g., math, statistics, finance ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

$115K - $160K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Bachelor's degree in a quantitative or business discipline (e.g., math, statistics, finance ...

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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 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.
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 July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Gauntlet - Quantitative Software Engineer

De Circle

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

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