ZipRecruiter

Log In

2

Remote Algorithmic Trading Quant Jobs in California

Staffing Agency Recruitment

Google Ads Associate

Aptos, CA · Remote

$30 - $40/hr

This is a remote position. Position Summary: * We're looking for a data-driven, highly motivated ... Staying up to date on Google Ads product releases, betas, algorithm updates, and search marketing ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... Promotional & Trade Analytics - Modelling promotional uplift, baseline vs incremental volume splits ...

Wing

Navigation Engineer

Palo Alto, CA · On-site +1

$182K - $242K/yr

This role will be based in Palo Alto, CA, or remote within the United States . This position seeks ... Conduct trade studies for sensor and algorithm designs. Perform risk assessments of different types ...

next page

Showing results 1-20

All JobsAlgorithmic Trading Quant JobsRemote Algorithmic Trading Quant JobsRemote Algorithmic Trading Quant Jobs in California

Remote Algorithmic Trading Quant information

What is a Remote Algorithmic Trading Quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What are the key skills and qualifications needed to thrive as a Remote Algorithmic Trading Quant, and why are they important?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.
What are the most commonly searched types of Algorithmic Trading Quant jobs in California? The most popular types of Algorithmic Trading Quant jobs in California are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in California? For Remote Algorithmic Trading Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in California look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in California are:
What cities in California are hiring for Remote Algorithmic Trading Quant jobs? Cities in California with the most Remote Algorithmic Trading Quant job openings:
Remote Algorithmic Trading Quant jobs near you
Staff AI Scientist - AI Products / Life Sciences

Staff AI Scientist - AI Products / Life Sciences

Tempus

Redwood City, CA • On-site, Remote

$220K - $260K/yr

Full-time

Posted 28 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The AI Products group is a multidisciplinary group of AI scientists and engineers focused on developing AI-driven precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff AI Scientist, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal AI models that leverage one of the world's largest clinical and molecular datasets-transforming patient care at a massive scale.

Key Responsibilities

  • Technical Leadership: This is a high-impact, senior individual contributor role. Architect and lead the development of AI-intensive projects from initial research to production-ready design. Influence the long-term technical roadmap.

  • Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

  • Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

  • Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.

  • Scientific Contribution: Maintain Tempus's position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.

Qualifications

  • Education: Ph.D. in Computer Science, or a related quantitative field.

  • Professional Experience: 5+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

  • Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare AI is highly valued but not required.

  • Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare AI venues are preferred

  • Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.

#LI-SH1

New York Pay Range - $220,000-$260,000USD

California Pay Range - $220,000-$260,000USD

Illinois Pay Range - $200,000-$240,000USD

Remote - USA Range - $200,000-$240,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply