Data Engineer - Credit

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.

• 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

• 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

• 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

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Below is the expected base salary for this position. This is a good‑faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.

Base Salary Range: $150,000—$225,000 USD