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 e Software Engineer at JPMorgan Chase within the Corporate and Investment Bank, Electronic Trading 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. 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.

Job responsibilities

• Develops, implement, support and maintain a growing benchmark algorithmic trading platform & liquidity seeking and crossing platform of Asian markets

• Contributes significantly to the front office trading team in terms of pre and post-trade analysis and the design of the algorithmic trading strategies & the smart order routing strategies.

• Collaborates with development teams to design and build the algorithmic trading strategies / trading platform / internalization strategies for multiple business silos while guarantee the robustness of our highly resiliency trading platform & market sensitive dark pools.

• Collaborates with development teams to integrate reliability into the software development lifecycle, promoting best practices in coding, testing, and deployment.

• Collaborates with business to understand client trading requirements, and translate them into client customized algorithmic trading strategies.

• Collaborates with business to set up A/B experimental flows to evaluate the performance of algorithmic trading strategies.

• Collaborates with upstream Client Onboarding team / Order Management team & downstream Exchange Connectivity team / Data Quality team to ensure the smoothness of the trading flow, including but not limited to: end to end support of onboarding new client flow, expose algo trading params to desks and clients and ensure the algo trading params are correctly passed to the downstream systems and functionality wise work as expected.

• Drives, lead impact analysis / actions / follow ups on APAC cash exchange mandatory events across equity trading teams. Walk through with Business and Tech application teams on what exact changes on Exchange side and impacts to our trading systems and trading strategies. Work with the application teams to ensure the changes are implemented in a timely manner and with high quality, ensure a smooth go live.

• Automates repetitive tasks and processes to improve operational efficiency and reduce manual intervention.

• Leads incident response efforts, conducting root cause analysis and implementing corrective actions to prevent recurrence.

• Contributes to the development and maintenance of documentation, runbooks, and standard operating procedures for system operations and incident management.

• Engages with cross-functional teams to foster a culture of reliability, resilience, and operational excellence.

• Works with various financial data (trading/execution/risk data)

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines

5 or more years of software engineering experience. Mastery in Java with respect to designing, coding, testing , and software delivery

• Familiarity on electronic trading system and the controls

• In-depth knowledge of the financial services industry and their IT systems

• Hands-on experience in electronic trading system, site reliability engineering, or a related field

• Proficient in scripting and automation using one or more languages (e.g., Python, Bash, etc.).

• Strong understanding of the Software Development Life Cycle and agile methodologies, with a focus on CI/CD, application resiliency, and security.

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)