Graduate Quant Trader

Quant Blueprint LLC; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Job summary

Quant Blueprint LLC is seeking a Quantitative Researcher in Chicago, IL, to develop mathematical models and automate trading strategies using advanced statistical methods. Collaborate with research teams and software developers, gain access to clean data, and receive training for success in the role.

The ideal candidate will have a degree in a technical discipline, experience with large data sets, and expertise in programming languages such as Python, R, MATLAB, or C++. Strong problem-solving skills and curiosity for model development are essential.

Qualifications

• A degree in a technical discipline with a focus on statistics, machine learning.
• Experience handling large data sets.
• Expertise in programming using Python, R, MATLAB, or C++.

Responsibilities

• Extract predictive signals from financial data using statistical and machine learning techniques.
• Assist in translating research strategies into production software.
• Optimize order execution and risk management in trading.

Skills

Model development

Machine learning

Statistical analysis

Programming (Python, R, MATLAB, C++)

Education

Degree in a technical discipline (e.g., statistics, machine learning)

Job description

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Researcher, you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful.

Responsibilities

• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques
• Assist software developers to translate research strategies into production software
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
• Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas

Qualifications

• A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2024 and August 2025 (Bachelor's, Master's, PhD)
• A curiosity for model development and experience handling large data sets
• Expertise in programming using Python, R, MATLAB, or C++ for conducting research
• Can advocate for your beliefs in a concise and effective way with the team
• Significant hands-on experience applying machine learning algorithms to real world problems
• Strong problem-solving and statistics skills
• The proactive ability to take the lead on assignments and deliver practical research results in a timely manner