Sr Lead Software Engineer - Quant, Python, KDB+

Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products., * 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

• 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.