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Entry Level Quantitative Analyst Jobs in Arlington Heights, IL

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 ...

This entry-level role provides recent graduates with the opportunity to work on high-impact ... Strong quantitative and qualitative analysis skills * Excellent written and verbal communication ...

The level of work required is considered entry-level and staff work under direct supervision. You ... Evidence of aptitude for quantitative and analytical skills * Exposure to and experience using data ...

Drawing on your analytical and communication skills, you will work closely with Airship's Account ... Experience with quantitative modeling. Familiarity with technology and/or enterprise software.

Analyst, HRIS

Naperville, IL · On-site

$65.10K - $95K/yr

In this entry-level role, the analyst will support, learn, and maintain HR information systems ... Understand and use qualitative/quantitative measurement and data collection design principles.

In this entry-level role, the analyst will support, learn, and maintain HR information systems ... Understand and use qualitative/quantitative measurement and data collection design principles.

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Entry Level Quantitative Analyst information

See Arlington Heights, IL salary details

$56.5K

$133.9K

$240K

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

As of May 28, 2026, the average yearly pay for entry level quantitative analyst in Arlington Heights, IL is $133,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

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 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.

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.
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What cities near Arlington Heights, IL are hiring for Entry Level Quantitative Analyst jobs? Cities near Arlington Heights, IL with the most Entry Level Quantitative Analyst job openings:
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Chicago, IL • On-site

Full-time

Posted 4 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.