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Data Engineer – Credit

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Optiver

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

150000.00 - 225000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

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.
What we offer:
  • 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

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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