Sr. Associate, Fund Analytics Engineering

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.

All of Microsoft's customers will also have access to our data and analytics capabilities through a single flexible infrastructure that is intuitive and responsive. If you are interested in being a part of this dynamic strategic partnership, we look forward to considering your skills and experience.

The role will manage a group of quantitative analytics applications to design, build and deliver analytics product solutions for a global client base of LSEG's buy‑side and sell‑side clients.

The successful candidate will be responsible for leading quantitative analytics application development and solutions delivery in alignment with analytics business, research and product teams for a growing analytics business. Responsibilities include managing a team of developers and consulting partner teams to design, build and deliver analytics product solutions including data, applications and application infrastructure for the analytics engineering business in alignment with the strategic analytics platform and engineering vision.

This position requires strong personal initiative, work ethic and the ability to lead a highly technical team. The role requires domain expertise and experience working in fixed‑income analytics and securitized product development to provide efficient solutions to complex fixed‑income and multi‑asset analytics problems.

• Delivery of high‑quality analytics product solutions to clients, with a commercial focus in collaboration with analytics business, product, research and sales teams, to deliver analytics products used by leading financial institutions worldwide and drive revenues for a growing analytics business.
• Lead the development and execution of strategic technology initiatives for analytics product including application and data cloud migration in alignment with LSEG's analytics and engineering platform strategies, architecture, operational and risk processes.
• Support an API‑FIRST analytics business strategy to design and build SaaS and PaaS solutions, including analytics data solutions, quantitative models, risk analytics and customized reporting tools, and other sophisticated analytical tools.
• Extend and support a hybrid multi‑cloud analytics platform and application infrastructure designed to deliver quality, efficient and resilient analytics solutions to buy‑side and sell‑side clients.
• Provide leadership, coaching and development to the quantitative development community to drive high performance and ensure they have the technical skills and financial market knowledge required to deliver against long‑term plans.
• Foster a culture of continuous improvement in internal processes and external solutions and deliverables.

• Strong leadership and development experience with analytics software product development, or analytics SaaS/PaaS solutions.
• Experience in managing highly technical development teams/projects, including onshore and offshore teams.
• Experience leading, designing and delivering API service‑based product solutions.
• Experience in leading, designing and delivering cloud‑based solutions for analytics products and services.
• Experience in development of complex, distributed, multi‑tier systems.
• Domain expertise in fixed‑income and securitized products and valuations.
• Significant expertise in high‑quality software design, architecture, product domain, process automation, software validation and verification testing.
• Experience in full product development cycle from inception (POC) to product delivery, using agile software development methodologies.
• Strong technical background with a degree (master's or equivalent) in computer science, engineering, mathematics or related fields.
• Str…