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Entry Level Quantitative Modeling Jobs in Seattle, WA

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 ...

Entry Level Quantitative Modeling information

See Seattle, WA salary details

$35.3K

$103.1K

$166.2K

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

As of Jun 16, 2026, the average yearly pay for entry level quantitative modeling 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 jobs make $1,000,000 a year?

Entry level quantitative modeling roles typically do not reach $1,000,000 annually; such high earnings are usually associated with senior positions, hedge fund managers, or successful traders in finance. These roles often require extensive experience, advanced skills in programming and statistical analysis, and a strong track record of performance. Most professionals in this field earn significantly less at the start of their careers.

What are some common challenges faced by entry-level quantitative modelers when transitioning from academic studies to a professional environment?

Entry-level quantitative modelers often encounter the challenge of adapting their theoretical knowledge to solve real-world business problems, which can be less structured than academic exercises. Working in a professional setting typically requires collaborating with cross-functional teams, communicating complex quantitative findings to non-technical stakeholders, and managing tight deadlines. Additionally, new modelers must quickly learn industry-specific tools and data sources while adhering to regulatory and organizational standards. Support from senior team members and ongoing training can help ease this transition.

What is the difference between Entry Level Quantitative Modeling vs Entry Level Data Analysis?

AspectEntry Level Quantitative ModelingEntry Level Data Analysis
Required SkillsMathematics, programming, financial knowledgeStatistics, data manipulation, visualization
Work EnvironmentFinance, banking, hedge fundsMarketing, consulting, tech companies
CertificationsQuantitative finance certifications (e.g., CQF)Data analysis certifications (e.g., Google Data Analytics)
Common UsageBuilding models for risk, pricing, tradingInterpreting data trends, reporting, dashboards

Entry Level Quantitative Modeling focuses on developing mathematical and computational models primarily for finance and trading. Entry Level Data Analysis emphasizes interpreting data to inform business decisions across various industries. While both roles require analytical skills, quantitative modeling is more technical and finance-oriented, whereas data analysis is broader and business-focused.

How much do entry level quantitative 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 tools.

What job makes $10,000 a month without a degree?

Entry-level quantitative modeling roles typically do not pay $10,000 a month without significant experience or advanced skills. High-paying jobs in finance, trading, or data science often require specialized knowledge, certifications, or a degree, though some self-taught professionals or those with strong skills in programming, statistics, and financial analysis can reach high income levels through freelance work or entrepreneurial ventures.

What jobs in the US pay 300,000 a year?

Entry-level quantitative modeling roles typically do not pay $300,000 annually; such high salaries are usually reserved for senior positions like quantitative analysts, portfolio managers, or risk managers with extensive experience, advanced degrees, and strong technical skills in programming and statistical analysis. Compensation at this level often includes bonuses and performance incentives. Most roles paying this amount require several years of industry experience and a deep understanding of financial markets or data science tools.

What are the key skills and qualifications needed to thrive as an Entry Level Quantitative Modeling professional, and why are they important?

To thrive in Entry Level Quantitative Modeling, you need strong quantitative analysis skills, a solid background in mathematics or statistics, and at least a bachelor’s degree in a related field such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB and experience using statistical modeling tools are commonly required. Attention to detail, problem-solving abilities, and clear communication help professionals effectively interpret data and present complex findings to stakeholders. These skills and qualities are crucial for developing accurate models that inform business decisions and risk management strategies.

What is an entry level quantitative modeling job?

An entry level quantitative modeling job involves using mathematical, statistical, and computational techniques to analyze data and create models that help businesses make informed decisions. People in these roles often work with large datasets, applying quantitative methods to solve problems in finance, risk management, or data science. Typically, entry-level quantitative modelers assist with building and validating models, preparing reports, and supporting senior analysts or modelers. A strong background in mathematics, statistics, programming, and analytical thinking is essential for success in this field.
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Seattle, WA

Other

Posted 10 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.