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

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... Strong proficiency in Python * Hands-on experience with search engines (Opensearch or Elasticsearch)

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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

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How much do quant python remote jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for quant python remote in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

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

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 is a Quant Python Remote job?

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 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 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 are popular job titles related to Quant Python Remote jobs in Santa Clara, CA? For Quant Python Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Santa Clara, CA look for? The top searched job categories for Quant Python Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Quant Python Remote jobs? Cities near Santa Clara, CA with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Staff AI Engineer

Staff AI Engineer

Workato

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an "enterprise startup to bet your career on"

  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

In this role, you will also be responsible for:

  • Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent

  • Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback

  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval

  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing

  • Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data

  • Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods

  • Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning

  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations

  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack

RequirementsQualifications / Experience / Technical Skills

  • Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field

  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

  • Strong proficiency in Python

  • Hands-on experience with search engines (Opensearch or Elasticsearch)

  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

  • Experience with text processing, NLP, and relevance tuning

  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)

  • Experience with large-scale distributed systems

  • Proficiency in Knowledge Graph construction and optimization is a plus

  • Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

  • Strong communication abilities to explain technical concepts

  • Collaborative mindset for cross-functional teamwork

  • Detail-oriented with strong focus on quality

  • Self-motivated and able to work independently

  • Passion for solving complex search problems

(REQ ID: 2472)