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Bloomberg Quant Jobs in California (NOW HIRING)

Jobtailor

Quantitative Developer

San Francisco, CA · On-site

$180 - $280/hr

About The Role We're hiring a Quantitative Developer to help turn research ideas into ... Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. * Exposure to portfolio ...

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 ... Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. * Exposure to portfolio ...

PIMCO

Product Associate

Newport Beach, CA · On-site

Perform detailed research and quantitative analysis with Excel, Bloomberg, Preqin and other analytics * Facilitate the creation of marketing and servicing materials such as presentation books and ...

PIMCO

Product Associate

Newport Beach, CA · On-site

Perform detailed research and quantitative analysis with Excel, Bloomberg, Preqin and other analytics * Facilitate the creation of marketing and servicing materials such as presentation books and ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

Integrate with professional financial data providers (Bloomberg, FactSet, Refinitiv, CapIQ ... Required Competencies * 5-10+ years of experience as an ML Engineer, Quant Engineer, or similar ...

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Bloomberg Quant information

See California salary details

$44.6K

$136.6K

$276.1K

How much do bloomberg quant jobs pay per year?

As of Aug 17, 2026, the average yearly pay for bloomberg quant in California is $136,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,213.00 and $170,385.00 per year, depending on experience, location, and employer.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

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

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

What is the difference between Bloomberg Quant vs Bloomberg Data Analyst?

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

What are popular job titles related to Bloomberg Quant jobs in California?

For Bloomberg Quant jobs in California, the most frequently searched job titles are:

What job categories do people searching Bloomberg Quant jobs in California look for?

The top searched job categories for Bloomberg Quant jobs in California are:

What cities in California are hiring for Bloomberg Quant jobs?

Cities in California with the most Bloomberg Quant job openings:

Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in California as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 15% Hybrid, and 8% Remote job distribution, with an average salary of $136,622 per year, or $65.7 per hour.

Quantitative Developer

Jobtailor

San Francisco, CA • On-site

$180 - $280/hr

Other

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

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.

Compensation Range: $180K – $280K

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