Data Engineer - Credit at Optiver

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.What you’ll doAs Data Engineer, your key responsibilities include:Create novel analytics and frameworks to research and analyze trade-offs between different sources of returns, flow, and riskQuantify market drivers with our Quantitative Researchers and Global Market Data team to support risk taking and decision makingModel and normalize complex financial datasets to ensure they are clean, structured, and accessible for both research and production trading systemsOwn the reliability of these datasets and the associated data APIsCollaborate directly with alpha researchers, pricing researchers, and fellow engineers to understand evolving data needs and deliver reliable, scalable solutionsEnsure data quality and consistency through validation, monitoring, and robust engineering practicesWhat you’ll getThe opportunity to work alongside best-in-class professionals from over 40 different countriesHighly competitive compensation packageGlobal profit-sharing pool and performance-based bonus structure401(k) match up to 50%Comprehensive health, mental, dental, vision, disability, and life coverage25 paid vacation days alongside market holidaysExtensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and moreWho you are3+ years of experience as a Data Engineer, Data Scientist, or similar role in a high-performance environment, preferably in financial servicesStrong proficiency in Python, with experience using libraries such as Pandas, Arrow, and SparkSolid understanding of data modeling, normalization, and API development in support of large-scale analytical or trading systemsExperience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) to manage large-scale, high-quality analytical datasetsFamiliarity with a variety of data sources, including CDS, corporate/capital structure, and bond NAVs relevant to Fixed Income tradingStrong software engineering fundamentals—especially around performance, scalability, and reliability in distributed systemsExperience with statistical models and core methods of quantitative financeExceptional attention to detail, organization, and project management skillsAbility 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.Who we areAt 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.