At a Glance
- Tasks: Lead global analytics teams in designing high-performance data solutions for real-time trading.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with strong emphasis on diversity and inclusion.
- Why this job: Make an impact in finance by leveraging AI and cutting-edge technologies.
- Qualifications: 5+ years in software engineering with expertise in Python/KDB/C++ and AI.
The predicted salary is between 63000 - 77000 £ per year.
Join a dynamic, global analytics team within JPMorgan Chase’s Commercial & Investment Bank, Electronic Trading Technology. As a Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank, Electronic Trading Technology, you will play a pivotal role in designing and delivering high-performance, scalable solutions that power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise in any of Python/KDB/C++, and who can leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation. Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role.
Job Responsibilities
- Lead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors in a high-velocity environment.
- Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems.
- Leverage AI technologies and techniques to enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research.
- Collaborate with research and trading teams worldwide to onboard new datasets efficiently and consistently, supporting global business needs.
- Build and support robust tools and frameworks for quantitative research and production trading, including scalable APIs and analytics libraries.
- Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards across distributed teams.
- Influence product design, application functionality, and technical operations/processes to meet the demands of a rapidly evolving financial landscape.
- Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence.
- Champion diversity, inclusion, and collaboration within large, global teams.
Required Qualifications, Capabilities, and Skills
- 5+ years of applied experience in software engineering, in large-scale, fast-paced financial environments.
- Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.
- Strong expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering.
- Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation.
- Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security).
- Experience leading and mentoring teams in a global, collaborative environment.
- Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.
- Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, and Skills
- Experience with market data venue and vendor data platforms.
- AWS experience; practical cloud native/cloud experience is a plus.
- Experience with Terraform and Kubernetes for managing production environments in public cloud.
- Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets.
- Knowledge of machine learning, statistical techniques, and related libraries.
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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI employer: JP Morgan Chase
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.
