Salary: $,.00 - $,.00 per year
Why This Role is Exciting
- Contribute to cutting-edge quantitative research that fuels automated trading in competitive global markets.
- Collaborate closely with traders, software engineers, and fellow quants to develop, test, and implement strategies.
- Select a specialization based on your strengths: alpha modeling or execution/microstructure optimization.
- Senior-level growth opportunities available for candidates with 3+ years of relevant experience and a proven track record.
- Attractive base salary with performance bonuses, relocation assistance, and comprehensive benefits in a top trading hub.
Location
- Work in Chicago, IL in a highly collaborative trading setting, with potential for hybrid work after initial training. Support for relocation to Chicago is provided.
Requirements
- Minimum 2 years of full-time experience in quantitative research, trading, or high-performance technology, strong Python proficiency, and Chicago on-site work necessity. Fully remote work is not an option.
About Our Partner Our partner is a Chicago-based proprietary trading firm specializing in high-performance automated trading systems for global derivatives markets. Established in , they compete daily in dynamic, fast-paced markets. The team values curiosity, innovation, and collaboration, and focuses on continuous improvement in a rapidly changing market landscape.
Job Description
- Utilize advanced quantitative techniques to solve financial modeling, algorithmic development, and system optimization challenges.
- Work with traders and developers to enhance a complex algorithmic trading framework.
- Create and implement tools for traders, explore new trading concepts, and refine existing strategies.
- Develop, test, and maintain automated trading algorithms and risk management logic.
- Analyze and improve system performance, including latency, stability, and execution quality.
- Conduct historical research and back-tests using extensive data sets and database tools.
- Share market insights, model behavior, and research findings with traders and stakeholders.
- For modeling-focused roles: design automated market-making and risk management algorithms, and formulate statistically driven position-taking strategies.
- For execution-focused roles: analyze post-trade data, investigate system behavior, optimize algorithm parameters, study market microstructure, and enhance execution systems.
Qualifications
- At least 2 years of professional experience in a quantitative research, trading, or high-performance technology role, preferably at an algorithmic trading firm.
- Degree in mathematics, physics, engineering, computer science, or a related quantitative field.
- Proficiency in writing clean, organized, object-oriented Python code; knowledge of C++ is a bonus.
- Experience in options and volatility modeling, statistical analysis, or optimizing algorithm logic in latency-sensitive or distributed systems.
- Expertise in working with MySQL or similar databases for historical research and back-testing.
- Passion for innovation and problem-solving in data-rich environments.
- Strong communication skills, with the ability to convey complex technical concepts clearly.
- Collaborative attitude with a drive for competition and a focus on delivering impactful solutions.
- Availability to work full-time at the Chicago office.
Benefits of Joining Us
- Competitive base salary ranging from $, to $,, plus annual performance bonus.
- Comprehensive medical and dental coverage, along with additional benefits.
- Relocation assistance for candidates moving to Chicago.
- Generous vacation policy and ongoing training opportunities.
- Daily catered meals, snacks, and beverages.
- Regular team events, company outings, and a relaxed dress code.
- Culture that values curiosity, continuous improvement, and measurable results.
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Job Type: Full-time
Benefits:
- Dental insurance
- Paid time off
- Retirement plan
- Vision insurance