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Fulltime Quantitative Researcher Jobs in San Rafael, CA

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production ... Prior full-time experience in finance, data science, or ML engineering. * Familiarity with APIs ...

Handshake

Senior UX Researcher

San Francisco, CA · On-site

$175K - $220K/yr

Plan and execute both qualitative (interviews, observational studies) and quantitative (surveys ... The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

We share our research as openly as possible to accelerate discovery and make our work broadly ... At least 3 years of full-time relevant scientific experience post-PhD or equivalent * Strong ...

Poesis

Head of Engineering

San Francisco, CA · On-site

$230K - $280K/yr

Partner closely with researchers, quantitative developers and leadership to translate research into ... full-time employees. Working at Poesis As an early team member, you'll help shape not just the ...

Figma

Researcher, Figma Agentic Experiences

San Francisco, CA · On-site +1

$182K - $224K/yr

This is a full time role that can be held from one of our US hubs or remotely in the United States ... quantitative techniques, to address product challenges spanning from opportunity identification ...

Figma

Researcher, Figma Agentic Experiences

San Francisco, CA · On-site

$182K - $224K/yr

This is a full time role that can be held from one of our US hubs or remotely in the United States ... quantitative techniques, to address product challenges spanning from opportunity identification ...

Thinkbrg

2027 Summer Associate (Intern)

Emeryville, CA · On-site

$17.25 - $23.25/hr

... full-time Associates after graduation, assuming the role is a fit on both ends. WhatYou'llDo ... Strong quantitative, research, problem-solving, and written communication skills. * Ability to work ...

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All JobsFulltime Quantitative Researcher JobsFulltime Quantitative Researcher Jobs in San Rafael, CA

Fulltime Quantitative Researcher information

See San Rafael, CA salary details

$58.5K

$132.8K

$219K

How much do fulltime quantitative researcher jobs pay per year?

As of Sep 6, 2026, the average yearly pay for fulltime quantitative researcher in San Rafael, CA is $132,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Are fulltime quantitative researchers in demand?

Fulltime quantitative researchers are in high demand across finance, technology, and data-driven industries due to their expertise in statistical analysis, programming, and modeling. Companies seek these professionals to develop algorithms, optimize trading strategies, and improve decision-making processes, often requiring strong skills in programming languages like Python or R and advanced degrees in quantitative fields.

Do fulltime quantitative researchers work long hours?

Fulltime quantitative researchers often work long hours, especially during market volatility or when meeting project deadlines. The role typically requires strong analytical skills, proficiency with programming languages like Python or R, and a focus on data analysis, which can lead to extended work periods beyond standard hours.

What are popular job titles related to Fulltime Quantitative Researcher jobs in San Rafael, CA?

For Fulltime Quantitative Researcher jobs in San Rafael, CA, the most frequently searched job titles are:

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The top searched job categories for Fulltime Quantitative Researcher jobs in San Rafael, CA are:

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Fulltime Quantitative Researcher jobs near you

Quantitative Developer

Poesis

San Francisco, CA • On-site

$180K - $280K/yr

Full-time

Medical, Dental, Vision

Re-posted 20 days ago

Job description

About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.
About the Role
We're hiring a Quantitative Developer to help turn research ideas into production-grade code. You'll help build data pipelines, implement models and ensure results are clean, reproducible and explainable. You'll work alongside Poesis' Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making.
Responsibilities
  • Rapidly implement and iterate on research ideas and model prototypes.
  • Clean, process, and join financial and fundamental datasets from professional and public sources.
  • Build and maintain processes for feature generation, back-testing, and model evaluation.
  • Run experiments, summarize results, and report findings to leadership.
  • Contribute to code quality: testing, documentation, and integration into shared systems.
  • Support the team in defining data schemas, APIs, and reproducibility standards.
  • Implement, test, and refine models, signals, and analytical workflows.
  • Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability.

Required Competencies
  • 3+ years of professional experience building the model infrastructure, data pipelines, and analytical tools to drive trading strategies
  • Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL.
  • Skill working with Claude Code, Codex, or other coding agents.
  • Proficiency working with real-world financial datasets and building reproducible analyses or pipelines.
  • Understanding of statistics, regression, optimization, and ML fundamentals.
  • Clear communicator who can explain technical findings to non-specialists.
  • BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field.

Preferred Competencies
  • Prior full-time experience in finance, data science, or ML engineering.
  • Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv.
  • Exposure to portfolio optimization, risk modeling, or financial time-series.
  • Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.).
  • Early-stage startup experience or demonstrated builder mindset.

Location
Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
Benefits
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Working at Poesis
As an early team member, you'll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You'll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.

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