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 JPMorgan Chase within the Commercial & Investment Bank in Markets Commodities Technology, 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.

The Global Commodities business spans over the globe (North America, EMEA, Asia Pacific) and does business in Oil, Gas, Power, Emissions, & Metals (both base and precious) in both Exchange Traded markets as well as Over the Counter markets. The desks trade both financially settled as well as physically settled products.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsHas Problem solving skills – given a problem statement find out and evaluate alternatives, plan, and build quick POC, present it to broader team and stakeholders.Lead a group of engineers to provide innovative engineering design and solution to various challenging problems.Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.Participate and develop to create an intuitive user experience at the front end. Develops secure high-quality production code, and reviews and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Improves experience for trading, operations developing intuitive user interfaces and performant back ends. Work with QR (Quantitative Research) group as well as other technical partners in a collaborative environment.Partner with many groups both upstream and downstream with varied priorities. Communication is the key here.Drives and executes within the strategy of macro technology, of which commodities is one section (aligning with rates and FX technology peers)Drives decisions that influence the product design, application functionality, and technical operations and processesAdds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) - Strong Python experience. Willingness to become proficient and develop in Python if not already a primary language.Experience in designing and developing workflow based user applications (full stack)Prior track record of delivery within risk management in financial servicesAbility to collaborate with and influence other technology teams to deliver end to end solutions to the business in a constantly changing environment.Knowledgeable in agile developmentAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldPreferred qualifications, capabilities, and skillsSoftware development experience in Commodities, Finance, or Investment banking preferred, or willingness to learn the business domainKnowledge of Athena, Quartz, SecDb or equivalent platforms preferredConcept of Risk, Markets – any knowledge in commodities markets is a plus.Expertise in python, pandas, NumPy, SciPy is a plus.