Requirements: English
Company: CW Talent Solutions
Region: le-de-France
Quantitative Researcher Cross-Asset, Deep Learning
CW Talent Solutions is excited to represent a leading quant trading firm in Paris looking to add a Quantitative Researcher with a focus on Cross-Asset and Deep Learning. This role offers a unique chance to apply advanced deep learning techniques to develop and deploy ML models for alpha extraction, pricing, and volume management across non-equity markets.
The Firm:
- Global Quant Trading Leader specializing in cross-asset, non-equity strategies
- Known for leveraging cutting-edge technology and deep learning for high-performance results
- Data-centric approach focused on sustainable alpha generation and capital efficiency
- Collaborative and research-driven culture that values continuous innovation
The Role:
Seeking Quantitative Researchers with expertise in Cross-Asset and Deep Learning for Non-Equity markets
Develop machine learning models to interpret alpha signals from alternative data, optimize pricing, and manage trade volume and flow
Key Responsibilities:
- 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
- Conduct research to develop scalable ML models for cross-asset strategies, optimizing trade volume and improving alpha generation
- Collaborate within a high-performing team, contributing to impactful model development and deployment
- Ensure adherence to industry standards and regulatory requirements
Preferred Experience:
- 2-7 years 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
Whats in it for you?
- Competitive compensation and career development opportunities
- Access to advanced ML and deep learning resources for quantitative research
- Join a pioneering firm in Paris where quantitative and ML research are core to strategy
- Collaborate with top talent in a firm dedicated to data-driven market solutions
Why Join Us?
Our clients stand out in the quant industry for their focus on non-equity strategies and deep learning innovation. If you are passionate about applying ML in complex financial contexts and making a tangible impact, this could be the role for you.
Desmond Hartigan M.A.
00353 85 852 6207
desmond@cwtalentsolutions.com