Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Lead innovative projects in financial analytics and AI data integration.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Career growth, collaboration, and a culture of innovation await you.
  • Other info: Diverse and inclusive environment with global collaboration opportunities.
  • Why this job: Make a real impact by shaping advanced data engineering solutions.
  • Qualifications: Experience in software engineering, especially with Python and KDB.

The predicted salary is between 60000 - 80000 £ per year.

Join us to shape the future of financial analytics and technology. You will lead impactful projects that drive advanced data engineering and AI solutions across global teams. We offer opportunities for career growth, collaboration, and technical excellence. Your expertise will help us deliver mission‑critical systems and foster a culture of innovation. Be part of a team where your ideas and leadership make a difference.

As a Lead Data Engineering & AI Technical Initiatives in the Global Analytics team, you will guide technical direction and drive innovation in real‑time data processing. You will collaborate with research and trading teams to deliver advanced analytics capabilities and support global business needs. Your role will focus on building robust tools, mentoring team members, and influencing product design. You will help shape our technical standards and foster a diverse, inclusive, and collaborative environment.

Job Responsibilities

  • Lead technical initiatives across global analytics teams, providing guidance and direction in a high‑velocity environment.
  • Design, build, and optimize real‑time data processing pipelines and applications to ensure reliability and performance.
  • Leverage AI technologies to enhance data engineering workflows and automate SDLC processes.
  • Collaborate with research and trading teams to onboard new datasets efficiently and consistently.
  • Drive team adoption of enterprise‑authorized AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve automation value.
  • Build and support robust tools and frameworks for quantitative research and production trading.
  • Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards.
  • Influence product design, application functionality, and technical operations to meet evolving business demands.
  • Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI.
  • Champion diversity, inclusion, and collaboration within global teams.

Required Qualifications, Capabilities, And Skills

  • Applied experience in software engineering, preferably in large‑scale, fast‑paced financial environments.
  • Hands‑on experience delivering system design, application development, testing, and operational stability for analytics‑driven teams.
  • Expertise in Python, KDB, or C++ for real‑time data processing, application development, or data engineering.
  • Working knowledge of AI technologies to support data engineering, analytics, or SDLC automation.
  • Demonstrated experience leading effective use of approved AI‑assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies.
  • 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.
  • Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading.

About Us

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.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion employer: JPMorganChase

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Software Engineer in our Global Analytics team, you will have the opportunity to lead transformative projects while benefiting from extensive career growth opportunities and a commitment to diversity and inclusion. Our supportive environment encourages mentorship and continuous improvement, making it an ideal place for talented individuals to thrive and make a meaningful impact in the financial services industry.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

We think you need these skills to ace Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

Python
KDB/Q
AI Technologies
Data Engineering
Real-Time Data Processing
Software Development Life Cycle (SDLC)
Automation