Senior Lead Software Engineer - Python Quant

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

As a Senior Lead Software Engineer at JPMorganChase within the Equities Electronic Trading Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform. 
• Design and build robust tools and frameworks to support quantitative research and production trading.
• Design, build and support critical research infrastructure (e.g. backtesting frameworks, strategy containers, high performant and scalable simulation environments, feature and strategy signal stores) 
• Develop interfaces and integration points between Python research environments and Java-based execution systems.
• Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)
• Serves 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
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) - Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy.
• Design and implementation of front-office systems for quant trading.
• 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. In-depth knowledge of the financial services industry and their IT systems
• Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
• Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Knowledge of machine learning, statistical techniques and related libraries.

• Additional advanced knowledge of Java / C++ is a strong plus.
• Practical cloud experience is a plus.
• Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets
• Experience with KDB/Q, shell scripting are assets.