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Quant Python Remote Jobs (NOW HIRING)

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.

Fraud Strategist, Quantitative

San Mateo, CA ยท On-site +1

$138K - $178K/yr

Fraud Strategist, Quantitative San Mateo or San Diego, CA (hybrid) US Remote (considered) Role ... Solid technical skills in SQL, Python, or equivalent. Additional knowledge of data visualization ...

Remote Senior Data Analyst

New York, NY ยท Remote

$94K - $118K/yr

... quantitative field -2+ years experience of financial data, reporting and accounting -First-hand ... Python (Pandas, Numpy, etc.) -Knowledge of financial data, reporting and accounting -Comfort ...

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 ...

Quantitative Analyst III

Scottsdale, AZ ยท 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 ...

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

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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.

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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:

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.

Quantitative Sales Associate

Databento

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Life, Retirement

Re-posted 25 days ago


Job description

The financial industry is growing at a record pace, but our data providers are still stuck in the past - with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.
Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.
We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.
Responsibilities
As a Quantitative Sales Associate, you will oversee the full scope of sales at Databento. This includes the following:
  • Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise.
  • Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.
  • Gather customer feedback, testimonials, case studies, and more.
  • Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized.
  • Build a network of executive relationships across the industry and with key partners and customers.
  • Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly.
  • Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience.
Desired Qualifications
The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for:
  • Understand and communicate with our user base of developers and quants.
  • Experience with quant trading and market microstructure.
  • Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot.
  • Professional communication skills that align with the tone of an institutional financial product.
  • White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off.
  • Readiness to work within a startup environment with limited resources and personnel.
  • As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries.
Notice about phishing scams
Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.
Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.
Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!