Macro Research Analyst

Overview

This role is focused on macro research for digital assets, helping shape how the market understands crypto. You will produce original, institutional-grade research across macro, crypto, and industry themes; develop the narratives that frame market understanding week to week; and connect the macro and traditional-finance backdrop to the crypto economy.

You will work closely with research and content teams, build relationships with industry partners, and contribute insights that support strategic intelligence used across the broader organization.

Responsibilities

• Produce and own institutional-grade research across macro, crypto, and organization-related themes, developing original ideas, frameworks, and new methodologies—especially work connecting macro and traditional finance to the crypto economy.
• Build rigorous models and clear visualizations from market data, public on-chain data, and other sources to support research and decision-making.
• Act as a proactive thought leader by staying ahead of market trends, risks, and opportunities; forming original views early; and helping shape discussion across macro backdrop and market structure, tokenization, DeFi, and institutional adoption.
• Coordinate with teams across the business to track and align narratives, ensuring market developments roll up into the team’s research and that research feeds broader organizational narrative goals.
• Build an external research network and share insights across the industry, amplifying the reach and distribution of research content.

Requirements

• 3+ years in crypto research or a closely related role, or 5+ years in consulting, venture capital, or traditional finance (e.g., investment banking, asset management, or capital markets).
• Deep understanding of macro and markets, including how the macro/traditional-finance backdrop connects to the crypto economy.
• A track record of original thinking, including differentiated views, new frameworks, and narrative development that helps set the agenda.
• Ability to source, clean, and structure large datasets from multiple sources (including market data providers and proprietary internal data) to produce publication-ready analysis.
• Proficiency with data processing and analysis tools for financial modeling. Python or R for data manipulation and visualization is required; familiarity with SQL or data querying is a plus.
• Driven and collaborative, with a strong work ethic and the ability to thrive in a high-pressure, fast-paced environment.
• Bachelor’s degree in Finance, Economics, Computer Science, or a related field is a plus; CFA is a plus.

Compensation & Benefits

• Competitive salary and company benefits.

Location

• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team).