Data Quality Engineer

QuantumLight Capital is seeking a Data Quality Engineer to enhance the integrity of data and evaluation environments for their AI systems. In this role, you will focus on building and maintaining data validation processes, developing evaluation datasets, and supporting the creation of reinforcement learning environments. Daily tasks will involve using SQL and Python to automate quality checks and improve data workflows, as well as identifying inconsistencies and implementing solutions. The position requires 3 to 4 years of experience in data quality, data engineering, or a related field, along with strong skills in Python and SQL. Familiarity with AI/ML concepts and experience in evaluating model outputs are also essential. Knowledge of agent-based systems and reinforcement learning environments will be beneficial. The job emphasizes cross-functional collaboration with Data and Investment Teams to ensure the production of reliable datasets and evaluation criteria. While the employment type is not specified, the role is likely suited for individuals with a strong analytical mindset and technical expertise in data management.