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Quantitative Developer Remote Jobs in Santa Clara, CA

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 ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

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

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 ...

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Quantitative Developer Remote information

See Santa Clara, CA salary details

$115.1K

$199.3K

$304.8K

How much do quantitative developer remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for quantitative developer remote in Santa Clara, CA is $199,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,000.00 and $233,700.00 per year, depending on experience, location, and employer.

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Fraud Strategist, Quantitative

PlayStation Global

San Mateo, CA • On-site, Remote

$138K - $178K/yr

Full-time

Re-posted 25 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