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Quant Python Remote Jobs in Oakland, CA (NOW HIRING)

Waymo

Business Operations Senior Associate

Mountain View, CA · On-site +1

$177K - $225K/yr

We leverage quantitative and qualitative analysis to create long-term business strategies and help ... Ability to create ad hoc dashboards for your own or small group use, ability to leverage Python, R ...

Waymo

Business Operations Senior Associate

San Francisco, CA · On-site +1

$177K - $225K/yr

We leverage quantitative and qualitative analysis to create long-term business strategies and help ... Ability to create ad hoc dashboards for your own or small group use, ability to leverage Python, R ...

Harnham

Senior AI Software Engineer

San Francisco, CA · Remote

$240K/yr

Remote, United States Compensation : Up to $240,000 + Equity We're partnered with a high-growth ... quantitative analysis * Strong Python skills, with solid software engineering fundamentals

Twilio

Staff Data Scientist

San Francisco, CA · On-site +1

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... Expert-level proficiency in Python/R, SQL, and modern ML frameworks (Scikit-learn, XGBoost, PyTorch ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Write production-quality SQL and Python code to extract, transform, and analyze data at scale ... related quantitative role. * 3+ years of experience partnering directly with Sales, Operations ...

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How much do quant python remote jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for quant python remote in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 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.
What are popular job titles related to Quant Python Remote jobs in Oakland, CA? For Quant Python Remote jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Oakland, CA look for? The top searched job categories for Quant Python Remote jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Quant Python Remote jobs? Cities near Oakland, CA with the most Quant Python Remote job openings:
Quant Python Remote jobs near you

Staff/Principal ML Engineer

Transparent Search Group

San Francisco, CA • On-site, Remote

$240K - $270K/yr

Full-time

Posted 18 hours ago

Job description

Staff / Principal ML Engineer Predictive Modelling for Alternative Assets

Full-time | Remote (North America) | $240K to $270K + Equity

About the Company

A fast-growing fintech startup is revolutionizing the valuation and trading of alternative assets. Their proprietary pricing engine powers real-time valuations, lending decisions, and risk assessments for high-value collectibles, used daily by investors and collectors across North America. Backed by top venture firms and well-known names in fintech and sports, this company is redefining liquidity in a $5B market and expanding rapidly into new asset classes.

The Role

This is a pivotal opportunity to own and evolve the company's core ML pricing model, the system that drives every transaction, cash advance, and asset valuation. You'll lead the end-to-end ML lifecycle, from data engineering and experimentation to scalable deployment and optimization.

You'll partner with quantitative analysts and domain experts to continuously improve the accuracy, speed, and cost-efficiency of the pricing and underwriting systems.

What You'll Do

Lead design, training, deployment, and optimization of large-scale ML pricing models.

Build and maintain the ML infrastructure using AWS, Docker, and Airflow.

Collaborate with pricing domain experts to engineer new features and predictive signals.

Run experiments and backtests to validate feature impact and improve model precision.

Manage model performance, optimize costs, and scale APIs for real-time workloads.

Drive technical direction and mentorship for future ML hires.

What You'll Bring

10+ years of total software experience, including 45 years focused on ML.

Expert in Python, scikit-learn, XGBoost, and pandas.

Proven MLOps experience (AWS, ECS, Docker, Airflow).

Strong understanding of model deployment, feature engineering, and experimentation.

Experience in pricing, risk modeling, or underwriting a strong plus.

Passion for alternative assets, trading, or collectibles.

Why Join

Shape the foundation of an ML-first company in hypergrowth.

Own a mission-critical product that powers every transaction.

Work remotely with a sharp, driven team backed by leading investors.

Competitive salary, equity, and direct impact on business outcomes.

Interview Process

Hiring Manager Intro (45 min)

System Design Screen (1 hr)

Take-Home Challenge (2 hrs)

Panel Interview (2.5 hrs)

Final Chat with CEO