Data Analyst

We are looking for a highly analytical Data Analyst to join our Data Science team and support the development, evaluation, and improvement of data-driven models and research initiatives. In this role, you will work closely with data scientists to analyze large-scale behavioral and transactional datasets, generate insights, and help translate raw data into meaningful signals.ResponsibilitiesConduct exploratory analysis on large-scale behavioral and transactional datasets.Partner with data scientists to support model development, evaluation, and validation activities.Investigate patterns, anomalies, and trends in user behavior, fraud indicators, and system performance.Build Python-based analytical workflows to support data investigations and research tasks.Collaborate with engineering and data teams to maintain high standards of data quality and integrity.Communicate analytical findings clearly and concisely to the data science team.Requirements: 2-4 years of experience in a Data Analyst or similar analytical roleStrong Python skills for data analysis (e.g., pandas, numpy, data exploration)Experience using AI-assisted tools (e.g., generative AI, code assistants, or data analysis copilots) to enhance data exploration, analysis efficiency, and insight generation, with an understanding of their limitations and best practicesStrong SQL skills and experience working with large datasetsSolid understanding of statistical concepts and exploratory data analysis techniquesStrong problem-solving and analytical thinking skillsAbility to clearly communicate analytical findingsBachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative fieldNice to HaveExperience working closely with data science or machine learning teamsFamiliarity with machine learning workflows and model evaluationExperience in fraud detection, risk, cybersecurity, or fintech domainsExperience working with large-scale data pipelines.This position is open to all candidates.