Data Analyst

About the role

This full‑time remote position focuses on delivering analytical insights and data‑driven decision‑making for AI labs and institutional clients. You will partner with product, engineering, and leadership teams to identify opportunities, establish best practices, and scale analytics capabilities in the artificial intelligence space.

Key responsibilities

• Help build and structure the data science organization, defining methodologies, frameworks, and institutional‑grade analytics practices.
• Support the entire analytics lifecycle—from problem formulation to model deployment—working with AI labs, institutional investors, funds, and professionals.
• Develop and execute analytics strategies for new products and market segments, translating business needs into technical requirements.
• Collaborate with product and engineering to refine data pipelines, feature development, and model deployment strategies.
• Drive measurable impact through predictive models, statistical analysis, and machine‑learning solutions while maintaining rigor and interpretability.

Required profile

• Proven track record delivering applied data‑analysis solutions to institutional or enterprise customers.
• Experience establishing ML/analytics processes within data‑analytics teams.
• Strong understanding of statistical methods, machine‑learning techniques, experimentation frameworks, and model evaluation metrics.
• Excellent communication skills for translating complex concepts to C‑level executives.
• Strategic thinker able to identify high‑impact analytical opportunities.
• Self‑motivated and able to thrive in a remote, fast‑paced environment.
• Advanced degree in a quantitative field (Computer Science, Statistics, Mathematics, Econometrics) preferred.

Required skills

• Statistical methods
• Machine‑learning techniques
• Experimentation frameworks
• Model evaluation metrics
• Data pipelines
• Feature development
• Model deployment

What we offer

• High‑impact work used by leading institutional investors.
• Opportunity to work at the intersection of AI, finance, and cutting‑edge technology.
• Remote‑first culture with flexible hours and a globally distributed team.
• Competitive salary, equity, and benefits package.