Engineering Manager, Reference Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the technical vision in close collaboration with your product counterparts, guiding engineering peers across different regions and the broader engineering community.

• Assemble and lead a team of outstanding engineers to design, develop, and implement scalable solutions that fulfill client needs promptly.

• Serve as a player-coach, guiding the team in creating frameworks that support the efficient ingestion and distribution of financial data, while also developing AI-native products that transition from initial prototypes to robust production services at a rapid pace.

• Champion best practices, identify opportunities for automation and process optimizations to enhance throughput, reduce latency, and improve accuracy.

• Create and sustain effective process controls and precise metrics that enhance data quality and boost operational efficiency.

• Operate in a fast-paced, dynamic environment to achieve high-quality outcomes and promote continuous improvement.

⛳️ Requirements

• Over 2 years of demonstrated experience in leading engineering teams, alongside 5+ years of professional backend engineering experience as an individual contributor.

• A degree in computer science or equivalent experience.

• Exceptional problem-solving and decision-making abilities.

• Previous experience with distributed systems, microservices, and messaging queues.

• Proficient in at least one object-oriented programming language (such as PySpark, Python, or Java), along with relational databases, SQL, and data pipelines.

• Familiarity with financial concepts (e.g., stocks, bonds, etc.) is advantageous but not mandatory.

• A strong interest in the FinTech sector and a passion for addressing challenging problems in investment management is a plus.

🏝️ Benefits

• Bonus

• Equity

• Benefits