Data Engineer - Credit

Optiver•New York, NY

32d

About The Position

Optiver is a leading global market maker, powered by technology, rigorous research, and deep collaboration. As markets grow more data-driven and competitive, our ability to ingest, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We're looking for a Data Engineer to join our Global Data Engineering team in New York City, with a dedicated focus on supporting our Credit Trading team and advancing our ETF and portfolio-based systematic strategies. You'll play a key role in building the data solutions that fuel both real-time trading and long-term research, working across the full data lifecycle, from discovery to derivation and validation, for datasets used in research and production systems.

Requirements

3+ years of experience as a Data Engineer, Data Scientist, or similar role in a high-performance environment, preferably in financial services
Strong proficiency in Python, with experience using libraries such as Pandas, Arrow, and Spark
Solid understanding of data modeling, normalization, and API development in support of large-scale analytical or trading systems
Experience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) to manage large-scale, high-quality analytical datasets
Familiarity with a variety of data sources, including CDS, corporate/capital structure, and bond NAVs relevant to Fixed Income trading
Strong software engineering fundamentals-especially around performance, scalability, and reliability in distributed systems
Experience with statistical models and core methods of quantitative finance
Exceptional attention to detail, organization, and project management skills
Ability to operate productively in a fast-paced, team-oriented environment.
Legal authorization to work in the U.S. is required; we will not sponsor individuals for employment authorization for this job opening.

Responsibilities

Create novel analytics and frameworks to research and analyze trade-offs between different sources of returns, flow, and risk
Quantify market drivers with our Quantitative Researchers and Global Market Data team to support risk taking and decision making
Model and normalize complex financial datasets to ensure they are clean, structured, and accessible for both research and production trading systems
Own the reliability of these datasets and the associated data APIs
Collaborate directly with alpha researchers, pricing researchers, and fellow engineers to understand evolving data needs and deliver reliable, scalable solutions
Ensure data quality and consistency through validation, monitoring, and robust engineering practices

Benefits

The opportunity to work alongside best-in-class professionals from over 40 different countries
Highly competitive compensation package
Global profit-sharing pool and performance-based bonus structure
401(k) match up to 50%
Comprehensive health, mental, dental, vision, disability, and life coverage
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

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