At a Glance
- Tasks: Lead a team to develop cutting-edge AI and analytics solutions for financial markets.
- Company: Join LSEG, a global leader in financial markets infrastructure and data.
- Benefits: Enjoy flexible work arrangements, healthcare, retirement planning, and paid volunteering days.
- Other info: Be part of a diverse, inclusive culture that values innovation and sustainability.
- Why this job: Make a real impact in the evolving world of finance with innovative technology.
- Qualifications: Strong experience in AI/ML, leadership skills, and a degree in a related field.
The predicted salary is between 80000 - 100000 € per year.
LSEG and Microsoft have entered an exciting strategic partnership for the development of next-generation data, analytics and cloud infrastructure solutions. Our customers’ needs are evolving and so are financial markets. This partnership will transform the way customers discover, analyse and trade securities around the world. It will also advance our cloud strategy and build the improved resilience, efficiency and agility that our customers need.
The Tech Lead, Quantitative Analytics Engineering (AI/LLM Focus) will lead a high-performing team of quantitative analytics and AI engineers, driving the design, development, and delivery of next-generation Analytics and AI-powered solutions. This role will combine deep expertise in Large Language Models (LLMs), AI/ML engineering, and cloud-native platforms with strong leadership experience to build scalable, intelligent analytics products for LSEG’s global client base.
The successful candidate will be responsible for leading the development and delivery of advanced Analytics and AI solutions, with a particular focus on LLM-powered applications, agent-based systems, and intelligent data platforms. This role requires hands-on technical leadership across AI/LLM engineering, agile delivery, and cloud-native architectures, while managing a team of engineers and external partners. You will collaborate closely with Analytics Business, Product, and Research teams to deliver innovative solutions aligned with LSEG’s strategic partnership with Microsoft and its cloud-first vision. You will play a key role in building and scaling LLM-driven capabilities, including AI-assisted analytics, automation, and decision-support tools for financial markets.
WHAT YOU'LL BE DOING:
- Lead the design, development, and deployment of LLM-powered analytics solutions, including agent-based systems, copilots, and AI-driven workflows.
- Drive adoption of AI/LLM technologies across Analytics products, including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and model evaluation.
- Lead and manage a team of engineers, fostering a strong engineering culture focused on innovation, delivery, and continuous learning.
- Own the LLM engineering roadmap, aligning with business priorities and Microsoft partnership initiatives.
- Deliver high-quality Analytics and AI product solutions to clients in collaboration with Product, Research, and Sales teams.
- Architect and implement cloud-native solutions leveraging platforms such as Azure, Databricks, and Snowflake.
- Design and deliver scalable data pipelines and AI workflows integrating structured and unstructured financial data.
- Lead development of API-first, SaaS/PaaS-based AI products, including analytics, risk models, and intelligent reporting tools.
- Extend and support a multi-cloud and hybrid cloud platform for AI and Analytics workloads.
- Drive agile engineering practices, including CI/CD, MLOps/LLMOps, and DevOps for AI systems.
- Collaborate with cross-functional teams to integrate AI agents and automation tools into business workflows.
- Ensure best practices in model governance, risk, explainability, and compliance, especially in financial services.
- Mentor and develop engineers in AI/ML, LLM technologies, and modern software engineering practices.
- Foster a culture of innovation, experimentation, and continuous improvement.
WHAT YOU'LL BRING:
- Strong experience in LLM/AI engineering, including hands-on work with large language models.
- Proven experience building LLM-based applications, including RAG pipelines, agents, embeddings, and vector databases.
- Solid experience leading engineering teams, ideally within AI/ML or data platforms.
- Strong experience with agile software development methodologies and leading agile teams.
- Hands-on experience with cloud platforms (Azure preferred) and modern data/AI ecosystems.
- Experience with Databricks, Snowflake, or similar data platforms.
- Familiarity with AI agents, orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.).
- Strong experience designing and delivering API-driven, distributed, cloud-native systems.
- Experience with MLOps/LLMOps, model lifecycle management, and production deployment of AI systems.
- Strong programming skills in Python, and familiarity with C++, C#, or similar languages.
- Experience working with large-scale data systems and pipelines.
- Domain knowledge in financial markets (Fixed Income, Multi-Asset analytics) is a strong plus.
- Strong understanding of software architecture, scalability, and system design.
- Excellent communication and stakeholder management skills.
- Degree (Master’s or equivalent) in Computer Science, Engineering, Mathematics, or related field.
- ~10+ years of experience in technology, AI, or financial services.
WHAT YOU’LL GET IN RETURN:
- Career growth, leading a commercially focused technology team in a high-profile business.
- Client-facing financial applications design and development opportunity.
- Leadership opportunity to determine strategic technology direction for Analytics products.
- Cutting edge development on Microsoft Office & Azure platforms and cloud technologies.
- We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to workplace; this role is Blended.
At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer.
Senior Tech Lead, Quantitative Analytics Engineering in London employer: London Stock Exchange Group
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Senior Tech Lead in Quantitative Analytics Engineering, you will have the opportunity to lead a high-performing team while working at the forefront of AI and cloud technologies, all within a culture that values diversity and continuous learning. With tailored benefits, career growth opportunities, and a commitment to sustainability, LSEG is dedicated to empowering its employees to thrive both personally and professionally.
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Tech Lead, Quantitative Analytics Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at LSEG or Microsoft. A friendly chat can open doors and give you insights that might just help you land that Senior Tech Lead role.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Demonstrating your hands-on experience with AI/ML and cloud-native solutions can really set you apart.
✨Tip Number 3
Prepare for the interview by diving deep into LSEG’s partnership with Microsoft. Understand their vision for analytics and AI, and think about how your expertise aligns with their goals. This will show you’re genuinely interested and ready to contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Tech Lead, Quantitative Analytics Engineering in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with LLMs and AI engineering. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Show Your Leadership Skills:As a Senior Tech Lead, we’re looking for someone who can inspire and manage a team. Share examples of how you've led teams in the past, especially in agile environments, to demonstrate your leadership prowess.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications at a glance!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models and their applications. Be ready to discuss specific projects you've worked on that involved LLMs, especially in the context of analytics and AI solutions. This will show your hands-on experience and understanding of the technology.
✨Showcase Leadership Skills
As a Senior Tech Lead, you'll need to demonstrate your leadership capabilities. Prepare examples of how you've successfully led teams in agile environments, focusing on innovation and continuous learning. Highlight any mentoring experiences you've had with engineers in AI/ML technologies.
✨Understand the Cloud Landscape
Familiarise yourself with cloud platforms, particularly Azure, as well as tools like Databricks and Snowflake. Be prepared to discuss how you've architected cloud-native solutions and integrated them into existing systems. This will be crucial for aligning with the company's cloud-first vision.
✨Align with Company Values
Research LSEG's values of Integrity, Partnership, Excellence, and Change. Think about how your personal values align with theirs and be ready to share examples of how you've embodied these principles in your work. This will help you connect with the interviewers on a cultural level.
