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Entry Level Quantitative Analyst Jobs in Bothell, WA

Point72

Cubist Quantitative Researcher

Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Follow, digest and analyze the latest academic research * Manage all aspects of the research ...

Pwc

IT Audit/Controls - Senior Associate

Seattle, WA

$77K - $202K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

All JobsEntry Level Quantitative Analyst JobsEntry Level Quantitative Analyst Jobs in Bothell, WA

Entry Level Quantitative Analyst information

See Bothell, WA salary details

$63.2K

$149.7K

$268.3K

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

As of Jul 5, 2026, the average yearly pay for entry level quantitative analyst in Bothell, WA is $149,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $162,700.00 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 Bothell, WA? The most popular types of Quantitative Analyst jobs in Bothell, WA are:
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What cities near Bothell, WA are hiring for Entry Level Quantitative Analyst jobs? Cities near Bothell, WA with the most Entry Level Quantitative Analyst job openings:
Entry Level Quantitative Analyst jobs near you
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Seattle, WA

Other

Posted 28 days ago

Job description

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required. 
  • A commitment to the highest ethical standards. 

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