Java Sr Lead eSoftware Engineer - Equities Algo Trading - VP

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Equities Trading Technology Organization, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. The JPM Electronic Client Services (ECS) desk has established itself as an integral part of the franchise with continued business and market share growth (currently the top provider in EMEA for agency flow execution). As such you will be entering an environment where your colleagues share a market-leading mentality and constantly innovate and strive for excellence. Our product is global, so you will work closely with colleagues across the globe, who will appreciate and build on your skills, while also sharing their extensive experience to help you evolve. The successful candidate will be the part of the equities algo development team and work with quants, traders, and technologists to develop, implement, support and maintain a market leading algo execution platform trading global markets. Work deliverables directly contribute to the business and this role participates in all aspects of the trading engine. You will work directly with all stakeholders in our business. Subject to skills match and interest, your work can span across engine infrastructure, quantitative models, introduction/use of trading signals, and trade analysis for fine-tuning and overall improvement of strategy behavior. Job responsibilities Design and develop algo trading strategies and execution platform Design and develop our simulation environment and maintain our automated testing of strategies and their responses to staged market conditions Enhance existing strategies to improve performance by reviewing analytics and evolving our models/signals Support the desk by deep-diving into specific cases to interpret strategy behavior and address any issues Develop scalable real-time processing solutions using agile methodologies Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient advanced experience in Java Proficiency in low latency, real-time, scalable trading systems Experience in building/dealing with high throughput messaging APIs, middleware products Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing towards the development of the global platform Experience with algorithmic trading, including systematic trading Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience with FIX, Market Data, Analytics and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting