Data Engineer

Overview As a Quantitative Software Developer on KEPL, you help turn data into actionable insights for multi-asset, market-driven strategies. You will gain full-stack exposure and contribute to data pipelines, analytics tools, and research infrastructure that support rapid trading and expansion into new markets. You join a fast-growing, collaborative team that values rigorous research and cutting-edge tech. Your work will directly impact efficiency, data quality, and the ability to explore new asset classes in a high-velocity environment. ResponsibilitiesImprove data ETL pipelines and build tools to analyze new data efficientlyDevelop technologies to boost research and trading efficiencyExpand coverage to new markets and asset classesManage day-to-day operations in a fast-paced environment Key requirementsMaster or PhD in Mathematics, Computer Science, Engineering, or related field1-3 years of professional software development or data science/analytics experienceStrong quantitative skills paired with programming abilityProficiency in Python; knowledge of SQL and pandas is a plusFamiliarity with Linux environmentExcellent written and verbal communication skillsWillingness to work in a fast-paced startup environmentCommitment to the highest ethical standardsExcellent communicationAbility to collaborate in a cross-functional teamAdaptability to fast-paced environmentsPythonSQLpandas