Quantitative Researcher
vor 4 Wochen
IMC is looking for experienced quant researchers to develop high to mid frequency delta one trading strategies and predictive models for the APAC markets. If youâre excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you.
You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behaviour. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth weâve already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.
You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.
Your Core Responsibilities:
- Leverage deep learning techniques to improve prediction quality in a trading context
- Collaborate with feature engineers and traders, to help ensure the feature set is crafted and used to maximum effect
- Develop and improve sampling, weighting, cost, target, hyperparameters and network architecture to suit a range of problems and data presentations
- Push the team forward, by keeping abreast of the latest developments in industry and academia, and tackling some of the hardest problems we have in the quant space
- Mentor and grow the skills of more junior colleagues in the space, and clearly and simply explain complex concepts
- Apply understanding of distributed computing, and how to align training hardware and approach to rapidly achieve strong results on very large datasets
Your Skills and Experience:
- Graduate & Postgraduate study from top universities, majoring in machine learning, statistics, or STEM subjects
- 3+ years experience as a quantitative modeller, with specific experience in the high to mid frequency delta one space. Have a proven track record of developing and improving deep learning models with proven outperformance in production
- Strong programming experience in at least one language, and mainstream deep learning framework (TensorFlow, PyTorch or other)
- Deep understanding of the strengths & weaknesses of CNN, RNN, LSTM and transformers
About Us
IMC is a leading global market maker with offices in Europe, the US, and Asia-Pacific. We use algorithmic trading and advanced technology to buy and sell securities across multiple trading venues. Our vital role at the center of the financial markets provides liquidity for buyers and sellers worldwide.
In the late 1980s, IMC quickly identified the importance of technology in the fast-evolving trading environment. Our passion for innovation continues to drive us today. Although our company has grown rapidly over recent decades, we still approach our work with the same entrepreneurial spirit, emphasizing continuous improvement and innovation. We like our people to think for themselves, and we give them the responsibility and support they need to make an impact.
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