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Entry Level Quantitative Analyst Jobs in San Ramon, CA

Kla

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience Base Pay Range: $67,400.00 - $114,600 ...

Orbotech

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience Base Pay Range: $67,400.00 - $114,600 ...

All JobsQuantitative Analyst JobsEntry Level Quantitative Analyst JobsEntry Level Quantitative Analyst Jobs in San Ramon, CA

Entry Level Quantitative Analyst information

See San Ramon, CA salary details

$63.1K

$149.6K

$268.2K

How much do entry level quantitative analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for entry level 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.

How much do entry level quant analysts make?

Entry-level quantitative analysts typically earn between $60,000 and $80,000 annually, depending on the industry, location, and educational background. Starting salaries can increase with proficiency in programming languages like Python or R, and familiarity with financial modeling and data analysis tools.

What does a typical day look like for an Entry Level Quantitative Analyst?

A typical day as an Entry Level Quantitative Analyst involves analyzing large data sets, building statistical models, and generating reports to support business or investment decisions. You may collaborate closely with other analysts, data scientists, or portfolio managers to interpret data and brainstorm solutions to complex problems. Daily tasks often include coding, data cleaning, and presenting findings to non-technical colleagues. Over time, you’ll gain exposure to more sophisticated projects and can take on greater responsibilities as your experience grows. This diverse workload helps develop both technical expertise and industry knowledge for future career advancement.

Can you get into quant without experience?

Entry level quantitative analyst roles typically require some background in mathematics, programming, or finance, but prior work experience is not always necessary. Strong analytical skills, proficiency in tools like Python or R, and relevant coursework or certifications can help candidates qualify. Internships or project work can also improve chances of entering the field without formal experience.

What are the key skills and qualifications needed to thrive in the Entry Level Quantitative Analyst position, and why are they important?

To thrive as an Entry Level Quantitative Analyst, you need strong analytical and mathematical skills, proficiency in statistical modeling, and a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or SQL and experience using data analysis tools such as Excel, MATLAB, or statistical software are often expected. Excellent problem-solving abilities, communication skills, and attention to detail will help you stand out in this position. These competencies enable you to interpret complex data, deliver actionable insights, and collaborate effectively within fast-paced, data-driven teams.

Will AI replace quant analysts?

AI can automate certain tasks performed by quantitative analysts, such as data analysis and model testing, but it is unlikely to fully replace the role. Quantitative analysts will continue to be essential for developing complex models, interpreting results, and making strategic decisions that require human judgment and expertise. Skills in programming, statistical analysis, and financial knowledge remain valuable in this evolving field.

Is 40 too old to become a quant?

Entry level quantitative analyst roles typically require strong mathematical, programming, and statistical skills, which can be developed at any age. Age is generally not a barrier if you have relevant education, experience, and the ability to learn new tools like Python or R; many professionals transition into quant roles later in their careers.

What is an Entry Level Quantitative Analyst job?

An Entry Level Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to support financial decision-making. They typically work in finance, investment, or risk management, analyzing market trends, evaluating trading strategies, or assessing risk. This role requires strong analytical skills, programming proficiency (often in Python, R, or SQL), and knowledge of financial concepts. It serves as a foundation for more advanced quantitative roles, providing hands-on experience with real-world data and financial models.

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 Entry Level Quantitative Analyst jobs in San Ramon, CA? For Entry Level Quantitative Analyst jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Quantitative Analyst jobs in San Ramon, CA look for? The top searched job categories for Entry Level Quantitative Analyst jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Entry Level Quantitative Analyst jobs? Cities near San Ramon, CA with the most Entry Level Quantitative Analyst job openings:
Entry Level Quantitative Analyst jobs near you
Investment Banking Analyst - Technology M&A - SF

Investment Banking Analyst - Technology M&A - SF

The Weatherly Group

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Job description

About the Firm
Our Client is an elite M&A boutique focused on the Technology sector. The firm is redefining the investment banking career path. Unlike traditional "one-size-fits-all" programs, they provide tailored talent pathways and differentiated development opportunities for bankers. The team consists of elite practitioners from top-tier global institutions, offering high-profile, industry-defining transaction experience within the technology sector.
The Role
The Analyst experience is designed to be immersive and high-impact. You will work on lean transaction teams alongside senior leadership, providing strategic advice to leading innovators in the tech industry. This role requires a high degree of initiative, as analysts are expected to contribute across multiple disciplines from day one.
Core Responsibilities
  • Financial Modeling & Valuation: Build and maintain complex models, including DCF, precedent transactions, and comparable company analyses to illustrate projected financial results.
  • Transaction Execution: Support the end-to-end execution of M&A and capital-raising engagements, including due diligence and deal documentation.
  • Strategic Research: Conduct in-depth qualitative and quantitative research on technology industry trends and specific corporate developments.
  • Client Materials: Prepare high-quality pitch books, Confidential Information Memoranda (CIMs), and management presentations for C-suite executives and board members.
  • Market Monitoring: Interpret data on price, yield, and economic factors to forecast business conditions and identify strategic opportunities.
Qualifications & Skills
  • Analytical Mindset: Superior quantitative abilities with a focus on detail-oriented accuracy and strategic thinking.
  • Ownership & Initiative: Proven ability to take early ownership of projects and work effectively in a collaborative, fast-paced environment.
  • Communication: Exceptional oral and written communication skills to clearly articulate complex financial ideas.
  • Education: A strong academic record from a top-tier university; a degree in Finance, Economics, or a related quantitative field is preferred.
  • Experience: Prior experience in investment banking, tech advisory, or consulting is highly valued (typically 0-2 years for entry-level roles).

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