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

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. 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. Your role will focus on building robust tools, mentoring team members, and influencing product design.

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 to improve value realized by automation.
• 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 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.

Equal Opportunity and Diversity Statement

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. 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.