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Entry Level Quantitative Finance Jobs in Seattle, WA

Point72

Cubist Quantitative Researcher

Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

AO Globe Life

Business Analyst

Kent, WA · On-site

$65K - $80K/yr

... finance, business administration, economics, or a related quantitative discipline. They will be a ... All our managers and even executives started in entry-level jobs across the company. We encourage ...

All JobsQuantitative Finance JobsEntry Level Quantitative Finance JobsEntry Level Quantitative Finance Jobs in Seattle, WA

Entry Level Quantitative Finance information

See Seattle, WA salary details

$35.3K

$103.1K

$166.2K

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

As of Aug 30, 2026, the average yearly pay for entry level quantitative finance in Seattle, WA is $103,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What is an entry level quantitative finance job?

An entry level quantitative finance job typically involves using mathematical models, statistical analysis, and programming to analyze financial data and support decision-making in areas like risk management, asset pricing, or trading. People in these roles often work at investment banks, hedge funds, or financial technology firms. Common titles include quantitative analyst (or 'quant'), research analyst, or risk analyst. These positions generally require strong analytical skills, proficiency in programming languages like Python, R, or MATLAB, and a background in mathematics, statistics, engineering, or physics.

What are the key skills and qualifications needed to thrive as an entry level quantitative finance professional, and why are they important?

To thrive as an Entry Level Quantitative Finance professional, you need strong quantitative analysis skills, proficiency in mathematics and statistics, and typically a degree in math, finance, economics, engineering, or a related field. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with financial databases and risk management systems, is highly valued. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills enable individuals to analyze complex financial data, develop models, and support sound investment and risk management decisions.

What are some common challenges faced by entry level professionals in quantitative finance, and how can they be addressed?

Entry-level professionals in quantitative finance often face challenges such as adapting to fast-paced, data-driven environments and quickly mastering complex financial models and programming languages. It's common to feel overwhelmed by the steep learning curve, especially when working with large datasets or developing algorithmic trading strategies. To address these challenges, new hires should proactively seek mentorship, participate in ongoing training, and collaborate closely with senior team members. Emphasizing continuous learning and open communication can help bridge knowledge gaps and foster a supportive team culture.

What is the difference between Entry Level Quantitative Finance vs Entry Level Quantitative Analyst?

AspectEntry Level Quantitative FinanceEntry Level Quantitative Analyst
Required CredentialsBachelor's in Math, Finance, or related field; some roles prefer internshipsBachelor's in Math, Finance, or related field; often includes internships or relevant coursework
Work EnvironmentFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Employer & Industry UsageCommonly used in finance industry for entry rolesOften used interchangeably with quantitative finance roles in finance sector

Entry Level Quantitative Finance and Entry Level Quantitative Analyst roles are similar, often requiring comparable educational backgrounds and working in similar financial environments. Both positions focus on data analysis, modeling, and supporting investment decisions, making them closely aligned in the finance industry.

What are the most commonly searched types of Quantitative Finance jobs in Seattle, WA?

The most popular types of Quantitative Finance jobs in Seattle, WA are:

What are popular job titles related to Entry Level Quantitative Finance jobs in Seattle, WA?

For Entry Level Quantitative Finance jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Quantitative Finance jobs in Seattle, WA look for?

The top searched job categories for Entry Level Quantitative Finance jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Quantitative Finance jobs?

Cities near Seattle, WA with the most Entry Level Quantitative Finance job openings:

Entry Level Quantitative Finance jobs near you
Infographic showing various Entry Level Quantitative Finance job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $103,082 per year, or $49.6 per hour.

Cubist Quantitative Researcher

Seattle, WA

Point72
Finance and Insurance • 501 - 1,000 employees
Learn more about Point72external

Full-time

Re-posted 24 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. 

Apply