Systematic Trading Python Quant Data Engineer Vice President
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Job Summary
Be an integral part of a technology team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Sr Lead Software Engineer at JPMorgan Chase within the Equities Electronic Trading team you will play a crucial role in improving developing and delivering top-tier technology products in a secure stable and scalable manner. Your skills and contributions will have a substantial impact on the business and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.
Job responsibilities
- Build and support fast reliable globally consistent data pipelines (data ingestion cleaning backfilling storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading.
- Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.
- Design and build robust tools and frameworks to support quantitative research and production trading.
- Design build and support research infrastructure (e.g. data access APIs high performant and scalable simulation environments feature and strategy signal stores)
- Build and support research and trading analytics libraries (e.g. markouts strategy analytics)
- Serve as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Influence peers and project decision-makers to consider the use and application of leading-edge technologies
Required qualifications capabilities and skills
- Design and implementation of front-office systems for quant trading.
- Hands-on practical experience delivering system design application development testing and operational stability
- Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas numpy.
- Experience with KDB/Q
- Knowledge of data pipelines market data processing and backtesting workflows.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines
- Ability to tackle design and functionality problems independently with little to no oversight
- Proficiency in automation and continuous delivery methods
- In-depth knowledge of the financial services industry and their IT systems
- Academic experience in Computer Science Computer Engineering Mathematics or a related technical field
- Knowledge of machine learning statistical techniques and related libraries.
Preferred qualifications skills and capabilities
- Strong knowledge and experience in FIX Market Data Analytics OMS and equities trading in global markets are assets
- Additional knowledge of Java / C is a strong plus.
- Practical cloud native experience is a plus.
- Practical cloud experience is a plus.
Required Experience:
Exec
Key Skills
- Change Management
- Financial Services
- Growing Experience
- Managed Care
- Management Experience
- Analysis Skills
- Senior Leadership
- Performance Management
- Process Management
- Leadership Experience
- negotiation
- Analytics
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
