Engineering Manager, Reference Data

What You’ll Do

• 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

Who You Are

• 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