Our Europe & Brazil Equity Options market has traditionally focused on highly liquid stocks but has expanded in scope to many more symbols. As a result, we have a wide range of new and exciting problems to solve. We are looking for experienced Equity Options Trader to strengthen the group, help us tackle these new challenges and expand our fast-growing team to cover more symbols and regions, with a particular focus on positional trading strategies.

Your core responsibilities: 

• You will maximize revenue by creating competitive edge trading strategies, using our existing signals suite and contributing to its improvement
• You will have lots of responsibility and ownership early on to drive strategies forward and be successful
• IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of operational trading and data-driven analysis
• We’ve already created partnerships and business models to facilitate our expansion and we’re currently working to improve our options pricing; investigating new models and improving our existing framework

Your skills and experience:

• You are an experienced equity option trader with at least 2 years’ experience
• You have relevant tertiary qualifications (graduate or post graduate), with strong academic results, preference in mathematics, science, financial engineering or computer science
• You have proven ability to act and perform successfully in a fast moving and high pressured environment
• You have a passion for learning; you are driven to succeed, you work well individually and in a team to get results
• Experience in computer programming is a plus (Python, C/C++, Java, Matlab, SQL)
• You will be highly analytical, constantly enhancing your strategies to improve the quality of trades, pinpoint missed opportunities, and identify new trading ideas and products

Your IMC journey as a Graduate Trader begins with a six-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you will deepen your knowledge about trading and financial markets, IMC’s trading strategies, and our proprietary trading systems. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced trader at IMC. Our trading teams span across discretionary, systematic, and execution-focused roles, giving you the chance to apply your skills in strategy, quantitative modelling, or market execution. Following the programme, you will be placed on a desk that best matches your strengths and interests, so you can hit the ground running. You’ll receive recognition for your ideas and successes every step of the way.

YOUR CORE RESPONSIBILITIES

• Trade a wide range of financial instruments
• Develop, maintain, and improve trading strategies and algorithms
• Manage the execution and risk of complex trading portfolios
• Collaborate closely with IMC’s technology developers and engineers

YOUR SKILLS AND EXPERIENCES

• In your ultimate year of study in mathematics, physics, econometrics, or a related quantitative field, and are seeking to join IMC full-time in February or August 2026
• Experience in a programming language is a plus (e.g. Python, Matlab or R)
• First-class analytical skills
• A genuine interest in financial markets (no prior knowledge or experience is required)

Please note: This position can be based in either our Amsterdam or London office. If you have a preference on location, we encourage you to let us know, however, it cannot be guaranteed.

If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in September 2026. We encourage you to focus on enhancing your skillset before reapplying.

Due to U.S. consulate restrictions, candidates from certain nations (including Russia, Belarus, and Iran) are required to apply for their visa in a designated third country or to prove strong ties with a country of residency. Since the global traineeship begins shortly after employment starts, there is not enough time to establish the ties with the Netherlands which is needed for approval. As a result, we are unable to proceed with your candidacy for the graduate traineeship programme at this time. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com.

For more information on our trading interview process, please review our preparation guide here. 

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need:

• Proven success with profitable trading strategies.
• Strong programming skills in C++/Python in a Linux environment.
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets and developing statistical models.
• Fascinated and interested in advancing machine learning within the trading community.
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
• Masters or PhD in Statistics, Physics, Mathematics (or related subject).
• Desire to work within a collaborative, team-driven environment.
• Reliable and predictable availability 

Benefits include:

• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Commuter Benefits

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You'll Do:

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need:

• Proven success with profitable trading strategies.
• Strong programming skills in C++/Python in a Linux environment.
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets and developing statistical models.
• Fascinated and interested in advancing machine learning within the trading community.
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
• Masters or PhD in Statistics, Physics, Mathematics (or related subject).
• Desire to work within a collaborative, team-driven environment.
• Reliable and predictable availability 

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Cycle Schemes