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Quantitative Analyst Jobs in San Ramon, CA (NOW HIRING)

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data ...

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data ...

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data ...

Operations Research Analyst

Fremont, CA · On-site

$107K - $127K/yr

Prepare analytical reports for the local and international business operations with quantitative and qualitative data. * Analyze and review existing operation procedures and convert complex data and ...

This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate ...

This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate ...

Business Analyst III

Oakland, CA · On-site

$114K/yr

This role is designed for an analyst who is proficient in data visualization and quantitative modeling, looking to apply their skills within a fast-paced, enterprise environment. You will act as a ...

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Showing results 1-20

Quantitative Analyst information

See San Ramon, CA salary details

$63.1K

$149.6K

$268.2K

How much do quantitative analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantitative analyst in San Ramon, CA is $149,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $162,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What Does a Quantitative Analyst Do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms and hedge funds. Experience, education, and technical proficiency influence earning potential significantly.

How does a Quantitative Analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What are Quantitative Analysts?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, to develop models for trading, risk management, and investment strategies. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm offers roles across various divisions, including investment banking and asset management.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize portfolios in finance or trading environments.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

Will AI replace quant analysts?

AI is transforming quantitative analysis by automating data processing and modeling tasks, but it is unlikely to fully replace quant analysts. Instead, AI tools are expected to augment their work, requiring analysts to develop skills in programming, machine learning, and data interpretation to stay relevant in the evolving field.
What are the most commonly searched types of Quantitative Analyst jobs in San Ramon, CA? The most popular types of Quantitative Analyst jobs in San Ramon, CA are:
What are popular job titles related to Quantitative Analyst jobs in San Ramon, CA? For Quantitative Analyst jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Quantitative Analyst jobs in San Ramon, CA look for? The top searched job categories for Quantitative Analyst jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Quantitative Analyst jobs? Cities near San Ramon, CA with the most Quantitative Analyst job openings:
Quantitative Scientist (Staff / Sr Staff) - Power Markets

Quantitative Scientist (Staff / Sr Staff) - Power Markets

Equilibrium Energy

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

About our Company
Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation.
Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.
What we are looking for
Equilibrium was founded with a vision for building a company where innovation, collaboration, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for staff / sr staff quantitative scientistswith a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading & platform-as-a-service businesses. You'll help to shape the science-driven products, tools, & processes that will drive the future success of our company and lead the energy transition.
As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, signal discovery, and incremental delivery, b) facilitating research into profitable strategy development and energy market dynamics, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and d) partnering with our clients, engineers, product managers, and scientists to influence the near to medium term product roadmap.
What you will do
Use research insights to shape product direction and deliver innovative client solutions: Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction and drive positive impact at EQ's clients. Initiate and lead cross-functional engagements to surface, prioritize, and structure advanced novel quantitative analytics or machine learning techniques that can drive outsized impact on company trading strategies and client solutions.
Trading performance analytics: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.
Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests. Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions. Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading.
The minimum qualifications you'll need
  • Passion for clean energy and fighting climate change
  • An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline
  • 2+ years experience in quantitative research & analytics or systematic financial trading, or similar role, in the US Power Markets
  • 2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)
  • Experience in the electricity and energy domain (e.g. wholesale market prices)
  • Experience developing, releasing, and tracking performance of quantitative trading strategies in production
  • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences
  • A collaboration-first mentality, with a willingness to teach as well as learn from others
Nice to have additional skills
  • Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty
  • Experience with database technologies and sql
  • Experience with probability, hypothesis testing, and uncertainty quantification
  • Experience with optimization techniques (e.g. stochastic optimization, robust optimization)
  • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit)
  • Experience leading and mentoring a team of analysts

Not sure this is the right role for you?
We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.
What we offer
Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.
Employee benefits include:
  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.