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Quant Python Remote Jobs in San Jose, CA (NOW HIRING)

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Data Scientist

San Francisco, CA · On-site +1

$101K - $209K/yr

Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve ... Python or R) * Excellent communication skills and ability to explain learnings to both technical ...

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Strong analytical and quantitative problem-solving ability. * Communicate and present at all levels ... Python, HTML, CSS, JavaScript, React, and other industry standard languages and frameworks. * 3-5 ...

Wand

Product Data Analyst

San Francisco, CA · Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

WilsonCTS

Data Scientist III

Mountain View, CA · On-site +1

$85/hr

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for ... Python or R for advanced data analysis and automation (nice-to-have). * Lifecycle Marketing ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... quantitative roles, with a track record of successfully delivering data analytics projects ... Python, etc.) - Experience with product and marketing analytics and digital optimization tools ...

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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 San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 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 San Jose, CA?

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

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

The top searched job categories for Quant Python Remote jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Quant Python Remote jobs?

Cities near San Jose, CA with the most Quant Python Remote job openings:

Quant Python Remote jobs near you

Statistician, CMC (Chemistry, Manufacturing, and Controls)

Orca Bio

Menlo Park, CA • On-site, Remote

$100K - $160K/yr

Full-time

Posted 15 days ago

Job description

More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a commercial-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives.

Position Summary:  We are seeking a skilled Statistician to join our CMC organization and provide statistical leadership across analytical method development, validation, comparability, and product characterization activities. The successful candidate will partner closely with Analytical Development, Process Development, and Validation teams to design studies, analyze complex data (including non-normal distributions common in biologics assays), and translate results into clear, regulatory-defensible conclusions that support process and product decisions across the product lifecycle. In this role, you will provide hands-on statistical expertise across the full product lifecycle, from early analytical method development through commercial manufacturing, ensuring compliance with ICH, FDA, and EMA guidance.
Essential Duties & Key Responsibilities
  • Design and execute comparability assessments for process changes, site transfers, scale- up/scale-down activities, and reference standard qualification, utilizing equivalence testing, quality range methods, and mixed-effects models to establish pre-specified acceptance criteria.
  • Develop and apply tolerance interval methodologies (parametric, non-parametric, and distribution-free approaches) to establish specifications, in-process control limits, and shelf- life/stability ranges across the product lifecycle.
  • Conduct Bland-Altman analysis and method-agreement/method-transfer evaluations to assess bias, limits of agreement, and comparability between analytical platforms, instruments, and laboratories.
  • Provide statistical support for analytical method validation and verification, including accuracy, precision, linearity, range, and robustness studies, with particular expertise in handling non- normal and skewed data through transformation strategies and non-parametric methods.
  • Author and review statistical sections of validation protocols, reports, and summary statistics packages suitable for regulatory submissions (BLA/MAA/NDA, CTD Module 3) and responses to health authority queries.
  • Develop, validate, and maintain statistical code and templates (R, SAS, JMP, Python) to ensure consistency, traceability, and reproducibility of analyses; stay current with ICH, FDA, and EMA guidance on comparability, analytical procedures, and statistical methods.
  • Collaborate with Analytical Development, Process Development, QC, and Regulatory Affairs to design fit-for-purpose experimental designs (DOE), sampling plans, and risk assessments while communicating statistical concepts clearly to non-specialist stakeholders.
Experience & Education
  • B.S., M.S., or Ph.D. in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field (or equivalent experience).
  • 6+ years (B.S.), 3+ years (M.S.), or 1+ years (Ph.D.) of relevant industry experience applying statistics within a CMC, analytical development, or QC environment in biotech/pharma.
  • Demonstrated hands-on experience with comparability assessment methodologies for biologics or small molecules, tolerance interval construction (parametric and non-parametric), and Bland- Altman/method-comparison techniques.
  • Demonstrated experience providing statistical support for analytical method validation, including strategies for non-normal/non-Gaussian data, robust statistics, and bootstrapping methods.
  • Proficiency in a statistical programming language (JMP preferred; R, SAS, Minitab, or Python also relevant).
  • Working knowledge of relevant ICH Q2(R2), Q14, FDA, and EMA guidance related to analytical procedures, comparability, and specification setting.
  • Strong written and verbal communication skills with ability to explain statistical reasoning to cross-functional, non-statistical audiences.
  • Excellent attention to detail and ability to manage multiple concurrent projects in a fast-paced, highly regulated environment.
The anticipated annual salary range for this job is based on prior experience in the role/industry, education, location, internal equity, and other job-related factors as permitted by law. For remote-based positions, this range may vary based on your local market. Full-time employment positions will also be eligible to receive pre-IPO equity and annual bonus, in addition to competitive medical, dental, and vision benefits, PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. Other perks include subsidized daily lunches and snacks at our on-site locations.
 
Who we are
 
We are driven by a passion for science and compassion for patients. We act with urgency to ensure our treatments are one day accessible to all who need them.
 
We live by our core values of passion, courage, and integrity. Excellence in our work means the chance to unlock a better quality of life for our patients, and with that comes tremendous responsibility.
 
We innovate on a path that hasn’t been paved. We embrace an entrepreneurial spirit and take calculated risks to achieve our mission. We aren’t afraid to ask “why not” and challenge the status quo.
 
We maintain a start-up culture of camaraderie and leadership by example, regardless of title.
 
We’re proud to be an equal opportunity employer, and recognize that celebrating our differences creates stronger, lasting solutions that better serve our team, our patients and their healthcare providers.
 
Notice to staffing firms
 
Orca Bio does not accept resumes from staffing agencies with which we do not have a written agreement and specific engagement for a particular opening. Our employment activities, inquiries and offers are managed through our HR/Talent team, and all candidates are presented through this channel only. We do not accept unsolicited resumes, and we rarely outsource recruitment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.