Systematic Quantitative Researcher, AssociateVice President
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about quantitative research and data-driven trading Join our APAC Central Risk Book team and help transform trading processes through advanced analytics and automation. This is an exciting opportunity to collaborate with traders design next-generation strategies and make a real impact in the cash business unit.
As a Systematic Quantitative Researcher in the APAC Central Risk Book team you will partner with traders to develop and implement advanced analytics algorithmic strategies and risk models. You will play a key role in automating trading workflows and driving business transformation through data-driven solutions. Your expertise will help shape the future of systematic trading and support the teams growth and innovation.
Job Responsibilities- Partner with the Central Risk Book desk to develop analytics and automated processes for all aspects of trading activity
- Design and implement trading strategies including portfolio optimization index arbitrage statistical arbitrage and market making for equities futures and ETFs
- Identify and evaluate new business opportunities contributing to the full development lifecycle: research prototyping implementation monitoring and performance analysis
- Support trading operations by analyzing model behavior conducting scenario and post-trade analyses and reviewing historical performance
- Develop hedging strategies and build robust execution logic
- PhD or Masters degree in a quantitative or computer science field from a leading institution
- Experience in systematic trading particularly in cash equities or related asset classes
- Excellent written and verbal communication skills with the ability to clearly explain complex research concepts
- Deep understanding of algorithmic trading market making and arbitrage strategies
- Strong expertise in alpha research and statistical modeling
- Advanced programming skills in Python and relevant quantitative libraries (e.g. numpy pandas) with the ability to analyze large complex datasets from multiple sources
- Familiarity with KDB/Q is preferred
- Experience in developing and integrating analytics into automated trading workflows
- Ability to work collaboratively with traders and stakeholders to drive adoption of data-driven methodologies
- Proactive approach to identifying and solving business challenges
- Strong problem-solving skills and attention to detail
- Experience with additional programming languages or quantitative tools is a plus
Required Experience:
Exec
Key Skills
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About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
