Salary
💰 $100,000 - $150,000 per year
About the role
- Analyze workflows, customer behavior, and fund performance to identify growth opportunities
- Design and execute A/B tests and pilots across marketing, onboarding, and advisor engagement
- Write Python or R scripts, build reporting pipelines, and automate insights
- Utilize AI to develop predictive models, drive idea generation, and support asset growth
- Collaborate with CRO, client success, and marketing to implement high-impact ideas
- Define and track KPIs, monitor progress, and iterate to improve outcomes
- Create dashboards, data products, or lightweight internal tools to enable growth
- Own the process end-to-end for experiments and growth initiatives
Requirements
- 3 to 6 years of experience in data science, analytics, or growth execution roles
- Strong proficiency in Python, R, SQL, and working with structured datasets
- Background in mathematics, statistics, computer science, or quantitative finance
- Experience running A/B tests, interpreting results, and translating findings into action
- Solid grasp of statistical modeling, experimentation, and performance analysis
- Proven ability to define, track, and optimize growth KPIs
- Comfortable leveraging AI tools and automation to improve productivity and outcomes
- A passion for financial markets and how data can drive real-world investment outcomes
- Clear communicator who enjoys working cross-functionally and moving fast
- Bonus: experience with CRM systems (e.g., HubSpot), internal tools, or data apps