Drive the technical direction in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community
Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time
Be a player-coach who leads the team to build frameworks that supports highly performant ingestion and distribution of financial data and build AI-native products, moving from initial prototype to scalable production services with high velocity.
Advocate for standard methodologies, find opportunities for automation and optimizations in processes to increase throughput , latency and accuracy
Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency
Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement

2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor.
A computer science degree or equivalent experience
Strong problem-solving and decision-making skills
Prior experience with distributed systems, microservices and messaging queues
Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines
Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus

Engineering Manager, Reference Data

Key skills