Senior Engineering Manager

Location: Bengaluru

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.

ROLE PROFILE:
The Tech Lead, Quantitative Analytics Engineering role will manage a group of quantitative analytics application developers and consulting partnerships to design, build and deliver Analytics product solutions for a global client base of LSEG's buy-side and sell-side clients.

ROLE

SUMMARY:

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 solutions for the Analytics Engineering business in alignment with the strategic Analytics platform and Engineering vision.

This position requires and rewards candidates with strong personal initiative, work ethic, and the ability to lead a highly technical team. This 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.

WHAT YOU'LL BE DOING:
Responsibilities include, but are not limited to:

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 world-wide, 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, and 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 both internal processes and practices, and external solutions and deliverables.

WHAT YOU'LL BRING:

Strong leadership and development experience with Analytics software product development, or Analytics SaaS/PaaS solutions
Experience leading/designing/delivering API service-based product solutions
Experience in leading/designing/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 degree (Master's or equivalent) in Computer Science, Engineering, or Mathematics or related fields
Strong practical knowledge and experience in Linux, C++ or C# or Python and related technologies
:10+ years of technology or finance industry experience
Very strong interpersonal and communication skills
Self-driven, goal-oriented team player with good communication skills
Solid people leadership experience, to nurture talent and grow an Analytics development team in a performance-based environment

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…