ZipRecruiter

Log In

2

Quant Developer Remote Jobs in Santa Clara, CA (NOW HIRING)

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 ... We are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 3+ years of industry ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry ...

Verge Inc.

Software Product Manager

Fremont, CA · Remote

... remote location Establishes quantitative and qualitative metrics, guidelines, and standards by ... Leads coordination and integration of efforts among operations, engineering, technology, and ...

LevaData, Inc.

Sr UI/UX Designer

San Jose, CA · Remote

Data-Driven - Proactively seeks out qualitative and quantitative insights to inform and * improve ... engineering, and marketing, to deliver a best-in-class experience * Remote-First - Lives where they ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$149K - $199K/yr

... Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

next page

Showing results 1-20

All JobsQuant Developer JobsQuant Developer Remote JobsQuant Developer Remote Jobs in Santa Clara, CA

Quant Developer Remote information

What are some typical challenges Quant Developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What are the key skills and qualifications needed to thrive as a Quant Developer in a remote setting, and why are they important?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What is the difference between Quant Developer Remote vs Quant Analyst Remote?

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

What are Quant Developers?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.
What are the most commonly searched types of Quant Developer jobs in Santa Clara, CA? The most popular types of Quant Developer jobs in Santa Clara, CA are:
What are popular job titles related to Quant Developer Remote jobs in Santa Clara, CA? For Quant Developer Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Quant Developer Remote jobs in Santa Clara, CA look for? The top searched job categories for Quant Developer Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Quant Developer Remote jobs? Cities near Santa Clara, CA with the most Quant Developer Remote job openings:
Quant Developer Remote jobs near you
Infographic showing various Quant Developer Remote job openings in Santa Clara, CA as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution.

Fraud Strategist, Quantitative

PlayStation Global

San Mateo, CA • On-site, Remote

$138K - $178K/yr

Other

Re-posted 5 days ago

Job description

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

Apply