Quantitative Architect (DeFi)

TL;DR

Quantitative Architect (DeFi): Designing methodologies and data products for institutional-grade pricing and indexing with an accent on market microstructure and financial engineering. Focus on building defensible market signals, implementing production-grade data systems, and representing quantitative products to institutional clients.

Location: Must be based in Europe

Company

A digital-first startup building institutional-grade market infrastructure for the decentralized finance space.

What you will do

• Design and develop data methodologies that synthesize multiple sources into defensible market signals.
• Implement data signals with direct impact on revenue and institutional adoption.
• Leverage Python, SQL, and statistical programming to move from exploratory analysis to production systems.
• Apply expertise in asset pricing, liquidity measurement, and market data systems.
• Serve as the subject matter expert representing quantitative products to institutional clients.
• Translate sophisticated financial engineering concepts into clear explanations for non-technical audiences.

Requirements

• 5+ years of professional experience in quantitative research or financial engineering.
• Fluent English proficiency.
• Expert-level proficiency in Python and SQL.
• Deep practical knowledge of market data systems and reference data architecture.
• Proven experience designing and deploying pricing methodologies for financial assets.
• Demonstrated ability to communicate advanced quantitative concepts to C-suite executives.

Nice to have

• Background at quantitative trading firms, hedge funds, or proprietary trading desks.
• Experience with decentralized finance (DeFi) or next-generation financial infrastructure.
• Prior work at market data providers or exchanges.
• Exposure to index design and maintenance.

Culture & Benefits

• Remote-first organization with a globally distributed team.
• Dynamic startup environment focused on the evolving DeFi market.
• Opportunity to define the future of institutional market data infrastructure.
• Collaborative team culture blending technical expertise with business development.