ZipRecruiter

Log In

2

Quant Developer 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 ... quantitative field * 7+ years of backend engineering experience with 3+ years in search ...

Tailored Brands

Sr Store Analytics Manager

Dublin, CA · On-site +1

This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with ... Data Engineering, and executive leadership to align analytical recommendations with business ...

ServiceNow

Senior Pricing Strategy Manager

Santa Clara, CA · On-site +1

$155K - $272K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Using qualitative and quantitative market insights and drivers, develop future-facing pricing and ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Preferred Qualification PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Partner with interdisciplinary groups of scientists, engineers, and product developers to translate ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

previous pagenext page

Showing results 21-40

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

Quant Developer Remote information

What is a quant developer?

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 skills and qualifications are needed to thrive as a quant developer in a remote setting?

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 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 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 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 August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.

Staff AI Engineer

Workato

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 4 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)