Data Engineer
Overview
In this role you will monitor, manage, and enhance equity and commodity derivatives market data to ensure accuracy and reliability. You will collaborate with Sales, Product Specialists, and Market Data teams globally to deliver high-quality data solutions for clients. You’ll develop automated monitoring, tackle data anomalies, and support complex pricing and valuation inquiries. This position offers an opportunity to shape data quality and analytical capabilities in a fast-paced financial environment.
Compensation / Benefitshealthcare coverage (medical, dental and vision)401(k) planlife insurancetime offpaid leave for qualifying circumstances
ResponsibilitiesIdentify data anomalies and remediate issues to improve quality and reliabilityCalibrate and maintain model parameters to ensure high-quality outputsDesign and implement automated monitoring and alerting for data integrity and efficiencyProcess large volumes of historical and real-time implied market data using programming and domain knowledgeAnalyze derivatives markets to support complex pricing and portfolio valuation inquiriesCollaborate with internal stakeholders to resolve client issues and improve product qualityStay informed about industry developments in equity and commodity derivativesCommunicate clearly to escalate issues and translate technical processes for stakeholders
Key requirementsBachelor's or Master’s degree in a quantitative field3+ years of experience with financial market data and data managementExperience with equity and commodity derivatives (a plus)Experience with data products, valuation services, and financial data platformsStrong analytical and problem-solving abilities to resolve complex data issuesAdvanced proficiency in SQL and PythonExperience with AI/ML is a plusAbility to multitask, prioritize, and meet deadlinesAbility to collaborate with internal teams to enable data management solutionsStrong organizational skills and attention to detailclear communicationcollaboration across cross-functional teamsproblem-solving under pressureSQLPythondata management