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Graduate Quant Jobs in Illinois (NOW HIRING)

Collaborate with the portfolio manager, quant researchers, and traders. Requirements: * Undergraduate or graduate degree in Computer Science. * 2+ years of experience developing research and trading ...

... either a Quant Trading or Quant Research internship offer. What You'll Do: Our internship is ... Optiver has a global application re-apply policy for our intern and graduate roles. If you have ...

Akuna's Trading and Research teams are seeking Quant Researchers to join a multidisciplinary group ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna's Trading and Research teams are seeking Quant Researchers to join a multidisciplinary group ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

... either a Quant Trading or Quant Research internship offer. What You'll Do: Our internship is ... Optiver has a global application re-apply policy for our intern and graduate roles. If you have ...

Akuna's Quant team is looking to add Quant Research Interns to a team of mathematicians ... Must graduate by August 2027 * GPA of 3.5 or above * Legal authorization to work in the U.S. is ...

Showing results 41-60

Graduate Quant information

What are the key skills and qualifications needed to thrive as a graduate quant, and why are they important?

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What cities in Illinois are hiring for Graduate Quant jobs? Cities in Illinois with the most Graduate Quant job openings:

Quantitative Developer

Point72

Chicago, IL

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:

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.

Responsibilities:

  • Design and develop software for strategy research and trading.
  • Build and improve tools for data acquisition, processing, and visualization.
  • Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
  • Manage the team's CI/CD pipeline, job running infrastructure, and other tech components.
  • Ensure robustness and efficiency of the team's systems. Be ready to troubleshoot and correct any issues.
  • Collaborate with the portfolio manager, quant researchers, and traders.

Requirements:

  • Undergraduate or graduate degree in Computer Science.
  • 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
  • Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
  • Solid understanding of Linux OS-system components, process management, shell scripting.
  • Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
  • Knowledge of SQL, JavaScript, Apache airflow.
  • Strong communication skills.
  • Willingness to take ownership of his/her work.
  • Commitment to the highest ethical standards.