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Phd In Finance Jobs in California (NOW HIRING)

Jobtailor

Quantitative Developer

San Francisco, CA · On-site

$180 - $280/hr

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 ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

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 ...

Qualcomm

BizAI Tech Functional Engineer

San Diego, CA · On-site

... Finance, Sales, and broader SG&A needs into intelligent, governed, production-grade solutions on ... OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of ...

Visa

Senior Director, Corporate FP&A

San Francisco, CA · On-site

Masters, MBA, JD, or MD), PhD with 9+ years of experience * The candidate will have a strong work ... MBA in Finance, Accounting, or Business from a premier institution preferred. * 10+ years of ...

Visa

Senior Director, Corporate FP&A

San Francisco, CA · Hybrid

Masters, MBA, JD, or MD), PhD with 9+ years of experience * The candidate will have a strong work ... MBA in Finance, Accounting, or Business from a premier institution preferred. * 10+ years of ...

Jobtailor

Engineering Lead, Agents

San Francisco, CA · On-site

$140 - $190/hr

Basic understanding of financial markets and a personal or professional interest in investing ... PhD in Computer Science or related field, or equivalent practical experience #J-18808-Ljbffr

New

Twitch

Data Scientist

San Francisco, CA · On-site

You'll partner closely with product, engineering, finance, and data teams to measure the impact of ... OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in ...

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Phd In Finance information

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How much do phd in finance jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for phd in finance in California is $20.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.55 per hour, depending on experience, location, and employer.

What is a PhD in Finance?

A PhD in Finance is a doctoral degree focused on advanced research in financial theory, markets, and quantitative methods. It prepares graduates for careers in academia, research institutions, and high-level industry positions, such as quantitative analysts or policy advisors. The program typically involves coursework in economics, econometrics, and finance, followed by original research culminating in a dissertation. Students develop strong analytical, mathematical, and research skills, making them experts in their field.

What are the key skills and qualifications needed to thrive as a PhD in Finance?

To thrive as a PhD in Finance, you need advanced quantitative analysis skills, deep knowledge of financial theory, and a strong academic background, typically with a doctorate in finance or a related field. Expertise in statistical software (such as Stata, R, or Python), econometric modeling, and familiarity with academic publishing standards are essential. Strong critical thinking, presentation abilities, and collaboration skills help you communicate complex research and work effectively with peers. These competencies are crucial for producing impactful research, teaching effectively, and contributing to both academic and industry advancements.

What types of career paths are available to someone with a PhD in Finance?

A PhD in Finance opens doors to a variety of career paths, including academia, research roles in think tanks, quantitative analysis positions in financial institutions, and policy advisory roles in government agencies. Many graduates pursue tenure-track professorships, where they balance teaching with conducting original research. Others join investment banks, hedge funds, or consulting firms, leveraging their advanced analytical skills to solve complex financial problems. The role often involves collaboration with professionals from economics, statistics, and data science, offering a dynamic and intellectually stimulating work environment.

How much does a PhD in finance make?

A PhD in finance typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience. Academic positions may offer lower salaries initially but can increase with tenure, while industry roles in finance or consulting tend to pay higher starting salaries. Advanced research skills and knowledge of financial modeling are often required for higher-paying roles.

Is it worth getting a PhD in finance?

A PhD in finance prepares individuals for academic, research, and high-level analytical roles in finance, often requiring strong quantitative skills and familiarity with tools like statistical software. It can lead to careers in academia, research institutions, or specialized industry positions, but it typically involves several years of study and may not be necessary for most finance jobs. The decision depends on career goals and interest in research or teaching roles.

What can I do with a PhD in finance?

A PhD in finance prepares individuals for careers in academia, research, and high-level analytical roles in finance firms, consulting, or government agencies. Graduates often work as university professors, financial analysts, quantitative researchers, or policy advisors, utilizing advanced statistical, mathematical, and economic skills. The degree also enables roles that require deep expertise in financial modeling, risk management, and data analysis.

What are popular job titles related to Phd In Finance jobs in California?

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What job categories do people searching Phd In Finance jobs in California look for?

The top searched job categories for Phd In Finance jobs in California are:

What cities in California are hiring for Phd In Finance jobs?

Cities in California with the most Phd In Finance job openings:

Phd In Finance jobs near you
Infographic showing various Phd In Finance job openings in California as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $41,872 per year, or $20.1 per hour.

Quantitative Developer

Jobtailor

San Francisco, CA • On-site

$180 - $280/hr

Other

Medical, Dental, Vision

Posted 15 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.

Compensation Range: $180K – $280K

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