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Quant Python Remote Jobs in Palo Alto, CA (NOW HIRING)

Sagetap

Data Analyst

San Francisco, CA · On-site +1

$85K - $110K/yr

San Francisco preferred, though we're open to remote for an amazing candidate. What you will do ... Expert SQL, and experience using Python in a data engineering and analytics capacity. * Hands-on ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Palo Alto, CA

Quant Python Remote information

See Palo Alto, CA salary details

$15

$68

$101

How much do quant python remote jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for quant python remote in Palo Alto, CA is $68.91, according to ZipRecruiter salary data. Most workers in this role earn between $56.78 and $78.27 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.

What are popular job titles related to Quant Python Remote jobs in Palo Alto, CA?

For Quant Python Remote jobs in Palo Alto, CA, the most frequently searched job titles are:

What job categories do people searching Quant Python Remote jobs in Palo Alto, CA look for?

The top searched job categories for Quant Python Remote jobs in Palo Alto, CA are:

What cities near Palo Alto, CA are hiring for Quant Python Remote jobs?

Cities near Palo Alto, CA with the most Quant Python Remote job openings:

Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in Palo Alto, CA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $143,334 per year, or $68.9 per hour.

Data Analyst

San Francisco, CA • On-site, Remote

Sagetap
Online Marketplaces • 11 - 50 employees
Learn more about Sagetapexternal

$85K - $110K/yr

Full-time

Medical, Retirement

Posted 4 days ago

Job description

Data Analyst
Company DescriptionSagetap is a rapidly growing startup changing how enterprise technology executives discover and evaluate software. Our AI-driven platform anonymously connects tech buyers with the industry's most credible technology vendors, helping them cut through the noise and solve their biggest problems.
Backed by investors like NFX Ventures, Uncorrelated Ventures, and Emergent Ventures, we are on a mission to fundamentally change software discovery for senior technology leaders, fostering meaningful connections in a non-sales setting.
We're a tight-knit, fast-moving team that values curiosity, transparency, and impact. If you're energetic, results-oriented, and excited to work in an early-stage environment, come help us shape the future of technology buying at Sagetap!
Job Description
As a Data Analyst at Sagetap, you'll serve as the strategic analytics partner to Product, Growth, Engineering, Design, and Leadership. You'll use data to shape product strategy, influence roadmap decisions, and identify the highest-impact opportunities for marketplace growth.
You'll own the product analytics function; from defining KPIs and experimentation frameworks to building trusted reporting and scalable datasets. Your work will help leadership understand what is happening in the business, why it is happening, and what we should do next.
San Francisco preferred, though we're open to remote for an amazing candidate.
What you will do
  • Serve as the strategic analytics partner to Product, Growth, Engineering, and Design, helping prioritize roadmap investments through quantitative analysis and marketplace insights.
  • Support growth by generating insights and reports from Sagetap proprietary data
  • Own the measurement framework for product initiatives by defining KPIs, evaluating feature performance, identifying root causes behind metric movement, and presenting recommendations to leadership.
  • Lead experimentation strategy by designing, evaluating, and scaling A/B tests and product experiments.
  • Build executive-ready dashboards, analyses, and self-service reporting that improve decision making across Product, GTM, and Leadership.
  • Create and maintain scalable analytics datasets using DBT and modern data modeling best practices.
  • Manage Database Categorization of our technology categories and vendors.
  • Partner with executive leadership to answer strategic business questions and influence company priorities through data.
  • Support growth by generating insights and reports from Sagetap proprietary data.
  • Research cybersecurity and AI markets to identify trends that inform product strategy.
  • Leverage LLMs to improve internal workflows and enrich Sagetap's product database.

Qualifications
  • 3+ years of experience in Product Analytics, Data Analytics, Growth Analytics, or Data Science, preferably in B2B SaaS, marketplaces, or product-led growth companies.
  • Expert SQL, and experience using Python in a data engineering and analytics capacity.
  • Hands-on experience with DBT, Mixpanel and Omni (or similar BI tools), Git, experimentation frameworks, and modern data warehouses.
  • Experience defining KPIs and measurement strategies for product organizations.
  • Strong business judgment and ability to translate complex analyses into clear executive recommendations.
  • Experience influencing cross-functional teams and partnering with senior stakeholders.
  • Highly organized, proactive, and comfortable thriving in ambiguity.

What we are looking for
  • Strategic thinker who connects data to business outcomes.
  • Ownership mentality with the ability to independently drive high-impact initiatives.
  • Excellent communication and storytelling skills.
  • Curiosity, experimentation mindset, and bias toward action.

What you will have at Sagetap
  • Compensation: $85,000 - $110,000 base salary, depending on experience
  • Early-stage equity
  • Competitive salary + 401(k)
  • Comprehensive healthcare benefits
  • Real ownership in building a category-defining product
  • Opportunity to work closely with a high-performing, mission-driven team

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We're building a culture where differences are valued and welcomed. We work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
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About Sagetap

Sourced by ZipRecruiter

Industry

Online marketplaces

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019

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