Defining decomposing and solving complex business problems using analytical and statistical techniques heuristics regression classification cohort analysis etc Owning and co-creating business health metrics activation funded accounts trading frequency retention revenue risk signals and influence the product roadmap to improve them Applying optimization and constraint-based approaches to improving pricing effectiveness trading conversion margin efficiency and capital allocation decisions Partnering with Product and Business teams to deeply understand user behavior across the brokerage lifecycle onboarding funding trading retention Leading analytical planning ensuring adherence to processes and enabling smooth delivery using tools like Jira Confluence Notion etc Driving clear and timely communication on roadmap insights risks dependencies and trade-offs to senior stakeholders Establishing strong data best practices around documentation metric definitions experimentation and knowledge sharing Qualifiers 4 years of relevant experience in Analytics Data Science roles preferably in consumer internet fintech or high-scale digital products Robust proficiency in Python or R SQL and analytical notebooks e g Jupyter with hands-on experience in data visualization and BI tools such as Looker Tableau Power BI AWS QuickSight or similar Solid understanding of product experimentation frameworks A B A A multivariate testing DOE and statistical decision-making Experience applying machine learning models for business use cases We may use artificial intelligence AI tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses These tools assist our recruitment team but do not replace human judgment Final hiring decisions are ultimately made by humans If you would like more information about how your data is processed please contact us