Data Engineer

We are seeking an experienced Data Engineer to join a global data engineering team in New York, supporting a high-performing Credit Trading group and systematic ETF strategies.

In this role, you will design and deliver robust data solutions that power both real-time trading systems and long-term quantitative research. You will work across the full data lifecycle - from sourcing and modeling to validation and API delivery - ensuring high-quality, scalable datasets that directly impact trading performance.

This is a hands‑on engineering position at the intersection of data, quantitative research, and financial markets.

• Develop analytics and frameworks to evaluate trade-offs across returns, flow, and risk drivers
• Partner with quantitative researchers and market data specialists to quantify market signals and support risk-taking decisions
• Model, normalize, and structure complex financial datasets for both research and live trading environments
• Own the reliability, performance, and accessibility of critical datasets and associated data APIs
• Collaborate closely with alpha researchers, pricing teams, and engineers to deliver scalable, production-grade data solutions
• Implement monitoring, validation, and quality controls to ensure data accuracy and consistency
• Contribute to scalable data platform architecture supporting large-scale analytical workloads

• 3+ years of experience as a Data Engineer, Data Scientist, or similar role in a performance-driven environment (financial services experience strongly preferred)
• Strong Python skills, including experience with libraries such as Pandas, Arrow, and Spark
• Solid expertise in data modeling, normalization, and API development for analytical or trading systems
• Experience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS)
• Familiarity with fixed income data sources such as CDS, corporate/capital structure datasets, and bond NAVs
• Strong engineering fundamentals with a focus on scalability, reliability, and performance in distributed systems
• Working knowledge of statistical models and quantitative finance concepts
• High attention to detail and strong organizational skills
• Comfortable operating in a fast-paced, collaborative environment
• Legal authorization to work in the U.S. is required

• Highly competitive base salary compensation ranging from 180,000 USD-250,000 USD
• Performance-based bonus structure
• Participation in a global profit-sharing pool
• 401(k) matching
• Comprehensive health, dental, vision, and life insurance coverage
• Generous paid time off plus market holidays
• Modern office environment with daily meals, snacks, and regular social and sporting activities
• Opportunity to work alongside internationally diverse, top-tier professionals

Feel free to check our website for more openings and let's get in touch for your next challenge in 2026!