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Remote Algorithmic Trading Quant Jobs in Santa Clara, CA

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

This role will focus directly on assay and algorithmic development, optimization, and analytical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Intuit

Senior AI Scientist

Mountain View, CA · On-site +1

... trade-offs across competing product categories. • Perform hands-on data analysis and modeling ... quantitative discipline. • 4+ years of industry experience building and deploying machine ...

Intuit

Senior AI Scientist

Mountain View, CA · On-site +1

... quantitative discipline. 4+ years of industry experience building and deploying machine learning ... Demonstrated ability to explain complex technical concepts and trade-offs to both technical and non ...

Karius

Senior Software Engineer

Redwood City, CA · On-site +1

$128K - $193K/yr

Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities * Understand user needs ... algorithms, or quantitative problem-solving, with 7+ years of relevant software engineering ...

Karius

Senior Software Engineer

Redwood City, CA · On-site +1

$150K - $197K/yr

Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities * Understand user needs ... algorithms, or quantitative problem-solving, with 7+ years of relevant software engineering ...

Netflix

Pricing Strategy Manager

Los Gatos, CA · On-site +1

We are open to remote candidates who are on the West Coast. Some travel to Los Gatos will be ... Exceptional verbal and written communication skills; ability to distill complex concepts, trade ...

Netflix

Pricing Strategy Manager

Los Gatos, CA · On-site +1

We are open to remote candidates who are on the West Coast. Some travel to Los Gatos will be ... Author memos and presentations that distill complex pricing trade-offs into clear strategic ...

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Remote Algorithmic Trading Quant information

See Santa Clara, CA salary details

$61.7K

$140K

$230.8K

How much do remote algorithmic trading quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote algorithmic trading quant in Santa Clara, CA is $139,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $179,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

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 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 most commonly searched types of Algorithmic Trading Quant jobs in Santa Clara, CA?

The most popular types of Algorithmic Trading Quant jobs in Santa Clara, CA are:

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For Remote Algorithmic Trading Quant jobs in Santa Clara, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Algorithmic Trading Quant jobs in Santa Clara, CA are:

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Cities near Santa Clara, CA with the most Remote Algorithmic Trading Quant job openings:

Remote Algorithmic Trading Quant jobs near you

Fraud Strategist, Quantitative

Sony Interactive Entertainment (SIE)

San Mateo, CA • On-site, Remote

$148K - $222K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Key responsibilities

  • Apply advanced mathematical, statistical, and computational methods to solve complex fraud and revenue optimization problems

  • Perform in-depth analysis to address key strategic areas in the customer journey, decipher analytical results, and deliver insights using hypothesis testing and experimental design

  • Perform ad hoc modelling and analysis to understand broad trends within and across data, evaluate vendor solutions, and drive strategy

Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Fraud Strategist, Quantitative
San Mateo or San Diego, CA (hybrid)
US Remote (considered)

Role overview:

As a member of the Fraud Strategy team, you will analyze transactional and historical data using various methodologies to generate insights that optimize fraud prevention and payment decisioning. Your work will support our mission to enhance security and reduce friction, ensuring customers can safely log in, play, and make purchases across the PlayStation ecosystem. Through your domain expertise and a deep understanding of our data, your insights and analysis will play a pivotal role in our strategy for this area.

What you'll be doing:

  • Apply advanced mathematical, statistical, and computational methods to solve complex fraud and revenue optimization problems

  • Perform in-depth analysis to address key strategic areas in the customer journey, decipher analytical results, and deliver insights using hypothesis testing and experimental design

  • Perform ad hoc modelling and analysis to understand broad trends within and across our data, evaluate vendor solutions, and drive our roadmap strategy

  • Work closely with other Fraud Strategists, Data Scientists, and ML Engineers to collaborate on areas of opportunity

  • Share and simplify findings to tell stories of analyses through dashboards, reports, data visualisations, and other internal forums

What we're looking for:

  • 5+ years or equivalent in related quantitative analysis experience in a subject area relevant to fraud and payments

  • Solid technical skills in SQL, Python, or equivalent. Additional knowledge of data visualization tools (Tableau, Domo, etc.)

  • Bachelor's degree or equivalent experience in Economics, Finance, Statistics, Mathematics, Machine Learning, or other quantitative field

  • Solid understanding of financial, mathematical, and statistical theories and practices, and a deep understanding of the modelling process and model performance indicators

  • Experience with ML/AI models is a plus

  • Strong written and verbal communication

Desirable:

  • Experience in the video games industry

  • Advanced knowledge of fraud trends in digital payments, e-commerce, and online transactions

  • Language skills, particularly Japanese

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.
$148,600-$222,800 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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