In this role, you will collaborate directly with portfolio managers to design and deliver data-driven solutions that address the most critical TMT investment debates and build custom AI workflows that enhance the investment process.
What You'll Do:- Partner with Portfolio Managers: Identify and frame key investment debates in The TMT sector, and design and conduct data-driven research to address them
- Enable with AI: Partner with portfolio managers to apply BAM's robust AI platform to custom agentic solutions that enhance their investment process
- Forecast the Future: Use advanced techniques (LLMs, graph analytics, Bayesian frameworks) to create predictions with high accuracy and low latency
- Build & Scale Data Products: Lead the development of data products and scale solutions that empower your sector's investment teams and drive alpha generation
- Shape Sector Strategy: Contribute to the development and execution of sector-level data strategies, driving engagement and adoption of the team's product
- Innovate with Investment Staff: Brainstorm creative applications of data in the investment process, pushing the boundaries of what's possible
What We're Looking For- Alpha-First Mindset: A passion for delivering value to investment teams by questioning the consensus and looking for informational advantages in data
- Technical Mastery: Solid command of statistics, analytics, and machine learning, with a proven track record of informing investment or business decisions. Familarity with panelization, demographic analyses, or other relevant areas of data science
- Sector Expertise: knowledge of the TMT investing space and direct experience working with key sector datasets
- AI applications: experience or familiarity with LLMs and prompt engineering, coding agents, and multi-step workflow build-outs
- Proven Experience: 7+ years in data science, data analytics, or a related field
- Educational Background: BS or MS in Mathematics, Finance/Economics, Computer Science, Statistics, Engineering, or Technology
- Crisp Presentation & Communication: Ability to distill complex technical concepts to non-technical audiences. Motivation to understand and integrate both up and downstream processes.
- Coding: Python and SQL
- Tech Stack Familiarity : Experience with any of the following is a plus: data analytics (Databricks/Spark, Snowflake, Jupyter), visualization tools (matplotlib, plotly, Tableau), web application frameworks (Dash, streamlit), cloud infrastructure (AWS/GCP/Azure, Apache Airflow, Jenkins, Docker), and Excel
Join BAM's Equities Data Science & AI team and help shape the future of data-driven investing. If you're passionate about leveraging data to solve complex problems and drive investment performance, we want to meet you.
