At a Glance
- Tasks: Lead the development of advanced analytics solutions and drive AI adoption in financial markets.
- Company: Join LSEG, a global leader in financial markets infrastructure and data.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team fostering innovation and continuous improvement.
- Why this job: Make a real impact in finance with cutting-edge technology and innovative solutions.
- Qualifications: Experience in software engineering, cloud-native applications, and AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
ABOUT LSEG: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open‑access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
Role Summary: The successful candidate will be responsible for leading the development and delivery of advanced Private Markets Analytics solutions, while driving the adoption of AI-powered capabilities to enhance product functionality, engineering productivity, and client value. This role requires hands‑on technical leadership across software engineering, system design, 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, Architecture and Research teams to deliver innovative Private Markets Analytics solutions aligned with LSEG’s strategic partnership with Microsoft and its cloud‑first vision and will play a key role in evolving the Private Markets Analytics platform and product suite through modern software engineering, scalable architecture and the integration of AI‑assisted capabilities, automation and intelligent decision‑support solutions for private capital markets.
What You’ll Be Doing:
- Lead the design, development and delivery of Private Markets Analytics product solutions, ensuring scalability, performance, maintainability, resilience and high engineering quality.
- Lead technical architecture and system design for distributed, cloud‑native applications and services.
- Drive adoption of AI/LLM technologies across Private Markets products, including prompt engineering, Retrieval-Augmented Generation (RAG), AI‑assisted workflows and intelligent automation where they deliver measurable business value.
- Lead and develop a team of engineers, fostering a strong engineering culture focused on innovation, delivery, quality and continuous learning.
- Own the engineering roadmap, aligning technical priorities with business objectives and Microsoft partnership initiatives.
- Deliver high‑quality analytics solutions to clients in collaboration with Product, Research, Architecture and Sales teams.
- Architect and implement cloud‑native solutions leveraging platforms such as Azure, Databricks and Snowflake.
- Extend and support a multi‑cloud and hybrid cloud platform for analytics workloads.
- Drive agile engineering practices, including CI/CD, DevSecOps, MLOps/LLMOps, automated testing and engineering best practices.
- Collaborate with multi‑functional teams to integrate AI agents, automation capabilities and modern AI services into business workflows.
- Ensure best practices in software architecture, engineering governance, AI governance, security, scalability, regulatory compliance and responsible AI.
- Provide technical leadership on architecture decisions, system design, technology selection and engineering standards across multiple initiatives.
- Mentor and develop engineers in engineering, system design, AI/ML technologies and modern development practices.
- Evaluate emerging technologies and recommend adoption where they improve product capability, engineering efficiency or client experience.
- Foster a culture of innovation, experimentation, engineering excellence and continuous improvement.
What You’ll Bring:
- Strong experience leading software engineering teams delivering enterprise‑scale Analytics, Private Markets or financial software solutions.
- Strong software architecture and system design skills with the ability to design scalable, resilient, distributed applications.
- Proven experience building and delivering API‑driven, cloud‑native, distributed systems.
- Hands‑on experience with Azure and modern cloud‑native application architectures.
- Experience with Databricks, Snowflake or similar enterprise data platforms.
- Strong understanding of software engineering best practices, including CI/CD, DevSecOps, automated testing, observability and secure software development.
- Strong programming skills in Python, with familiarity in C++, C#, or similar languages.
- Experience with AI/ML technologies and hands‑on knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering or similar generative AI technologies is highly desirable.
- Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen or similar) would be advantageous.
- Knowledge of Private Markets, alternative assets, portfolio analytics, financial data platforms, Fixed Income or Multi‑Asset Analytics is a strong plus.
- Strong understanding of software architecture, scalability, performance optimisation and modern system design principles.
- Excellent communication, stakeholder management and technical leadership skills.
Equal Opportunities: We are proud to be an equal opportunities employer. We do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Senior Tech Lead, Quantitative Analytics Engineering employer: London Stock Exchange Group
LSEG is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the vibrant financial hub of London. With a strong commitment to employee growth, we offer extensive opportunities for professional development and hands-on leadership in cutting-edge technologies like AI and cloud-native solutions. Our inclusive work environment prioritises excellence and continuous learning, making it an ideal place for those seeking meaningful and rewarding careers in quantitative analytics engineering.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Tech Lead, Quantitative Analytics Engineering
✨Tap into Campus Networks
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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Don’t shy away from reaching out directly to firms like London Stock Exchange Group. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Tech Lead, Quantitative Analytics Engineering
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to London Stock Exchange Group.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on London Stock Exchange Group's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at London Stock Exchange Group
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with London Stock Exchange Group.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at London Stock Exchange Group will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former London Stock Exchange Group employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
