Job Description

• 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
• Strong 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.

Skills Required