Company

DeFi

QuantitativeResearcher

Europe - Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Quantitative Researcher. Skills: quantitative research, financial engineering, market data systems, pricing methodologies, liquidity measurement, Python, SQL. Own the architecture of market infrastructure at its most fundamental level: designing the methodologies and data products that power institutional-grade pricing and indexing.. Design and develop data methodologies that synthesize multiple sources into defensible market signals.”

What You'll Achieve.

power institutional-grade pricing and indexing; construct a defensible world price for an asset; synthesize them into a methodology that traders, exchanges, and market makers can trust; power transparent, defensible pricing across asset classes that have never had institutional-grade infrastructure; highest fidelity, lowest latency, and most reliable market signals; Implement data signals with direct impact on revenue and institutional adoption

Industry & Context.

DeFi
Problems you'll solve

solve real problems; adaptable problem solvers; Demonstrated ability to solve non-trivial problems with minimal guidance

What They're Looking For.

Must Have

5+ years of professional experience in quantitative research, financial engineering, or related quantitative roles, 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, Experience with liquidity measurement, market impact analysis, or similar quantitative market microstructure work, Grasp of how institutional clients evaluate and adopt new data infrastructure, Demonstrated ability to solve non-trivial problems with minimal guidance, Ability to communicate advanced quantitative concepts with clarity to audiences ranging from engineers 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

What You'll Do.

Own the architecture of market infrastructure at its most fundamental level: designing the methodologies and data products that power institutional-grade pricing and indexing.

Design and develop data methodologies that synthesize multiple sources into defensible market signals.

Develop a deep understanding of available datasets

and optimal use cases.

Implement data signals with direct impact on revenue and institutional adoption.

Leverage advanced proficiency in Python

and statistical programming to move from exploratory analysis to production systems.

Demonstrate mastery in time-series analysis

and large-scale data problems.

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

logical explanations for non-technical audiences.

Relay market feedback from institutional partners back to product and engineering teams.

How You'll Work.

Team & Collaboration

half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community.; Communication is key to our network-driven approach.; Relay market feedback from institutional partners back to product and engineering teams.

Communication Scope

stand in front of sophisticated institutional clients and defend complex financial engineering in both technical and business terms; explain that to centralized and decentralized exchange executives; Communication is key; subject matter expert representing quantitative products to institutional clients; Translate sophisticated financial engineering concepts into clear, logical explanations for non-technical audiences; Ability to communicate advanced quantitative concepts with clarity to audiences ranging from engineers to C-suite executives

Full Job Description

You will own the architecture of market infrastructure at its most fundamental level: designing the methodologies and data products that power institutional-grade pricing and indexing. This is not purely a backend role. You are equally a subject matter expert who will stand in front of sophisticated institutional clients and defend complex financial engineering in both technical and business terms. You will solve real problems: How do we construct a defensible world price for an asset? What data sources matter? How do we synthesize them into a methodology that traders, exchanges, and market makers can trust? And how do we explain that to centralized and decentralized exchange executives? Location: Europe Remote-first Language: English (Fluent) ABOUT OUR TEAM AND YOUR ROLE We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Communication is key to our network-driven approach. Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm. Startup-level Speed: We thrive in the dynamic DeFi space and love adaptable problem solvers who are eager to meet the evolving needs of the market. We're building an Amsterdam hub with strong technical and business development talent. The Mission: You will be architecting methodologies that define the future of market data. Your work will power transparent, defensible pricing across asset classes that have never had institutional-grade infrastructure, designed for sophisticated buyers who require the highest fidelity, lowest latency, and most reliable market signals. YOUR RESPONSIBILITIES - Design and develop data methodologies that synthesize multiple sources into defensible market signals. - Develop a deep understanding of available datasets, their limitations, and optimal use case

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