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Entry Level Quantitative Finance Jobs in Schaumburg, IL

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

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 ...

Federal Reserve System

Research Assistant

Chicago, IL · On-site

$75K/yr

... quantitative research analyses using economic and financial data; developing code for model ... The level of work required is considered entry-level and staff work under direct supervision. You ...

JLL

Transformation Analyst

Chicago, IL

This entry-level role provides recent graduates with the opportunity to work on high-impact ... and quantitative skills with attention to detail * Experience with data analysis and financial ...

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Entry Level Quantitative Finance information

See Schaumburg, IL salary details

$30.4K

$88.9K

$143.4K

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

As of May 28, 2026, the average yearly pay for entry level quantitative finance in Schaumburg, IL is $88,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $116,900.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Entry Level Quantitative Finance jobs in Schaumburg, IL? For Entry Level Quantitative Finance jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Quantitative Finance jobs in Schaumburg, IL look for? The top searched job categories for Entry Level Quantitative Finance jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Entry Level Quantitative Finance jobs? Cities near Schaumburg, IL with the most Entry Level Quantitative Finance job openings:
Entry Level Quantitative Finance jobs near you
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.

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