DescriptionAre you passionate about quantitative trading Join a global team where your research and development skills will directly impact our systematic trading business. At JPMorganChase youll collaborate with talented professionals tackle complex challenges and help shape the future of automated trading. This is your opportunity to make a meaningful contribution in a dynamic fast-paced environment. Discover how you can grow your career and make a difference.
As Associate in Automated Trading Strategies (ATS) you will be part of a global team of quantitative traders responsible for designing implementing and running automated systematic trading strategies across asset classes. You will focus on the full stack of running a systematic trading book from alpha generation to execution and this role you will use your research and development skills to implement strategies in production code and contribute to the day-to-day running of the business.
Job Responsibilities
- Produce innovative research on quantitative trading strategies
- Build end-to-end machine learning pipelines from data ingestion model design and training to production deployment for real-time inference
- Implement production-grade code for a fully automated strategies
- Monitor performance and resolve day-to-day trading issues
- Collaborate with other teams to identify opportunities for revenue growth
Required Qualifications Capabilities and Skills
- Advanced degree (PhD preferred) in computer science mathematics physics or a related quantitative field with research or industry experience in machine learning/deep learning.
- Strong programming skills in Python for ML research and production (e.g. PyTorch) plus proficiency in one compiled language (C or Java).
- Capable of independent research and idea generation
- Excellent written and verbal communication skills
- Active interest in markets and quantitative trading
Preferred Qualifications Capabilities and Skills
- Experience in sequential modelling and ability to quickly reproduce state-of-the-art results
- Having published relevant papers in top international conferences or journals (e.g. NIPS ICML)
- Experience with large-scale data sets and optimizing low-latency systems
Required Experience:
IC
DescriptionAre you passionate about quantitative trading Join a global team where your research and development skills will directly impact our systematic trading business. At JPMorganChase youll collaborate with talented professionals tackle complex challenges and help shape the future of automated...
DescriptionAre you passionate about quantitative trading Join a global team where your research and development skills will directly impact our systematic trading business. At JPMorganChase youll collaborate with talented professionals tackle complex challenges and help shape the future of automated trading. This is your opportunity to make a meaningful contribution in a dynamic fast-paced environment. Discover how you can grow your career and make a difference.
As Associate in Automated Trading Strategies (ATS) you will be part of a global team of quantitative traders responsible for designing implementing and running automated systematic trading strategies across asset classes. You will focus on the full stack of running a systematic trading book from alpha generation to execution and this role you will use your research and development skills to implement strategies in production code and contribute to the day-to-day running of the business.
Job Responsibilities
- Produce innovative research on quantitative trading strategies
- Build end-to-end machine learning pipelines from data ingestion model design and training to production deployment for real-time inference
- Implement production-grade code for a fully automated strategies
- Monitor performance and resolve day-to-day trading issues
- Collaborate with other teams to identify opportunities for revenue growth
Required Qualifications Capabilities and Skills
- Advanced degree (PhD preferred) in computer science mathematics physics or a related quantitative field with research or industry experience in machine learning/deep learning.
- Strong programming skills in Python for ML research and production (e.g. PyTorch) plus proficiency in one compiled language (C or Java).
- Capable of independent research and idea generation
- Excellent written and verbal communication skills
- Active interest in markets and quantitative trading
Preferred Qualifications Capabilities and Skills
- Experience in sequential modelling and ability to quickly reproduce state-of-the-art results
- Having published relevant papers in top international conferences or journals (e.g. NIPS ICML)
- Experience with large-scale data sets and optimizing low-latency systems
Required Experience:
IC
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