Master Data Scientist for Cross-Asset Trading
il y a 1 jour
Overview
CW Talent Solutions represents a leading quant trading firm in Paris, seeking a Master Data Scientist to apply advanced deep learning techniques in cross-asset and non-equity markets.
Estimated Salary: €120,000 - €180,000 per annum
Company Overview
The firm is a global leader in quantitative trading, leveraging cutting-edge technology and deep learning for high-performance results. They have a data-centric approach focused on sustainable alpha generation and capital efficiency, with a collaborative and research-driven culture that values continuous innovation.
Job Description
This role offers the opportunity to develop and deploy machine learning models for alpha extraction, pricing, and volume management across non-equity markets. The successful candidate will design and deploy advanced deep learning models to interpret signals in non-equity asset classes, innovate with alternative data sources for signal extraction, pricing, and flow management, and collaborate within a high-performing team.
Responsibilities
Key responsibilities include designing and deploying advanced deep learning models, innovating with alternative data sources, conducting research to develop scalable ML models, collaborating with a high-performing team, and ensuring adherence to industry standards and regulatory requirements.
Preferred Qualifications
2-7 years of experience in quantitative research with a focus on deep learning applications, strong experience in non-equity asset classes and cross-asset research, proficiency in deep learning frameworks, data processing, and quantitative modeling, background in utilizing alternative data for trading insights and signal interpretation, analytical and innovative mindset with a commitment to rigorous research.
Benefits
Competitive compensation and career development opportunities, access to advanced ML and deep learning resources for quantitative research, and collaboration with top talent in a firm dedicated to data-driven market solutions.
Why Join Us?
If you are passionate about applying ML in complex financial contexts and making a tangible impact, this could be the role for you.
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