Job summary
Job post source
This job is directly from IMC Trading
Job overview
The Graduate Quantitative Trader role at IMC Trading involves trading a variety of financial instruments and managing complex trading portfolios in a fast-paced environment, contributing to the firm's market success through innovation and teamwork.
Responsibilities and impact
The role requires immersive training, developing and improving trading strategies and algorithms, solving complex problems, and collaborating with other traders to gain competitive advantages in the market.
Compensation and benefits
The base salary is $200,000 with eligibility for discretionary bonuses and benefits including paid leave and insurance, detailed on IMC Trading's benefits page.
Experience and skills
Candidates should be university students graduating between Sept 2025 and July 2026 in quantitative fields like Mathematics, Physics, Computer Science, or Economics, with strong analytical skills, a proactive attitude, and preferably programming experience; prior financial market knowledge is not required.
Career development
The position offers mentorship and the freedom to specialize and excel in trading, supporting professional growth within a collaborative and innovative environment.
Work environment and culture
IMC Trading promotes a collaborative, high-performance culture focused on innovation, problem-solving, and teamwork across global offices.
Company information
IMC Trading is a global trading firm established in 1989, known for its research-driven approach and technology backbone, providing liquidity and innovating in financial markets worldwide.
Team overview
Candidates will join a motivated team of traders, researchers, developers, and engineers working closely together in a dynamic setting.
Job location and travel
The job is based at IMC Trading offices globally, with start dates in February and August 2026; specific location details are not provided.
Application process
Applicants may submit one application per role annually, with evaluations based on role-specific criteria; reapplication is allowed in the next recruitment season if not selected.
Unique job features
The role offers unique opportunities for immersive training, mentorship, and working at the intersection of quantitative research and trading technology in a leading global firm.
Company overview
IMC Trading is a leading global market maker that provides liquidity on various financial instruments, including equities, bonds, commodities, and currencies. Founded in 1989 in Amsterdam, the company leverages advanced technology and sophisticated algorithms to facilitate efficient trading and ensure market stability. IMC Trading generates revenue through the bid-ask spread, profiting from the difference between buying and selling prices. Notably, the firm has a strong emphasis on innovation and has expanded its operations to major financial hubs like Chicago, Sydney, and Hong Kong.
How to land this job
Position your resume to highlight strong analytical skills, quantitative academic background, and any programming experience in languages like Python, Matlab, or R, as these align closely with IMC Trading's Graduate Quantitative Trader role requirements.
Emphasize your ability to thrive in fast-paced, dynamic environments and your proactive, team-oriented attitude, which are critical qualities for success on IMC's trading desks.
Apply through multiple channels including IMC Trading’s official corporate careers site and LinkedIn to maximize your visibility and application reach for the Graduate Quantitative Trader position.
Connect with current IMC Trading quant traders or employees in similar roles on LinkedIn to gain insights and express your interest; potential ice breakers include commenting on recent IMC innovations, asking about their experience with the immersive training program, or discussing the collaborative culture at IMC.
Optimize your resume for ATS by incorporating keywords from the job description such as 'quantitative analysis,' 'trading strategies,' 'problem solving,' 'programming,' and 'team collaboration' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate the tailored application process, handle multi-channel submissions, and identify relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and networking effectively.
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