Lead Engineer, Quantitative Analytics Engineering

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