Be an integral part of a technology team that's 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 focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life CycleInfluence 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 stabilityStrong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy.Experience with KDB/QKnowledge 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 disciplinesAbility to tackle design and functionality problems independently with little to no oversightProficiency in automation and continuous delivery methodsIn-depth knowledge of the financial services industry and their IT systemsAcademic experience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldKnowledge 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 assetsAdditional knowledge of Java / C++ is a strong plus.Practical cloud native experience is a plus.Practical cloud experience is a plus.