At a Glance
- Tasks: Build ML models for trading platforms and enhance liquidity strategies.
- Company: Dare, a leading firm in algorithmic trading based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with industry leaders in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of trading with AI.
- Qualifications: Strong background in ML, maths, statistics, and Python coding.
The predicted salary is between 59400 - 72600 £ per year.
Dare in City of London is seeking a Quantitative Researcher to join the algorithmic space, building ML capabilities for our liquidity trading teams and delivering models that give traders a competitive edge.
The role requires strong ML, maths and statistics, plus robust Python coding, with experience in production data processing and time-series data management.
Collaboration with senior leaders is essential.
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ML Quant Researcher for Trading AI Platforms employer: NLP PEOPLE
At JPMorganChase, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As an Applied AI ML Lead in Payments, you will not only have the chance to make a significant impact on global finance but also benefit from extensive career growth opportunities and mentorship within a diverse team. Our commitment to excellence and continuous learning ensures that your unique perspective is valued, making this an ideal environment for those looking to push the boundaries of technology in a meaningful way.
