JPMorganChase's Quantitative Research (QR) Team is looking to enhance its algorithmic trading platforms by integrating quantitative research, data analytics, and client solutions to improve trading strategy performance and offer advanced electronic solutions to clients.
Requirements
- Experience with optimization techniques relevant to trading strategies
- Experience coding in Java or C++
- Experience working on algorithmic trading platform
- Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
- Experience with writing production grade implementations for trading systems in Java/C++
- Experience with Python, AWS and/or other database/data processing technologies
- Experience with q/kdb or similar
Responsibilities
- Solve and implement numerical algorithms that address the optimization challenges in trade scheduling for multi-period single stock and portfolio products
- Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine
- Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance
- Work closely with the product team and trading desks to design and build client centric solutions
- Contribute to the design and implementation of the algorithmic trading platform, integrating quantitative research, data analytics, and client solutions across various functions within eTrading
- Apply optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine
- Guide and shape the direction of the platform
Other
- Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics
- 5 years of experience in position(s) with similar responsibilities/technologies/business area
- Strong analytical, quantitative, and problem-solving skills
- Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams
- Preferred PhD in STEM subject or independent research experience
