Job Overview
Location
Europe - Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Design and develop data methodologies that synthesize multiple sources into defensible market signals for institutional-grade pricing and indexing.
- • Develop a deep understanding of available datasets, their limitations, and optimal use cases to inform pricing architecture.
- • Implement data signals with direct impact on revenue and institutional adoption across asset classes lacking traditional market infrastructure.
- • Leverage advanced proficiency in Python and SQL to transition from exploratory analysis to production-grade quantitative systems.
- • Apply mastery in time-series analysis, pattern recognition, and large-scale data problems specific to financial markets.
- • Utilize expertise in asset pricing, liquidity measurement, and market data systems to build reliable, low-latency market signals.
- • Serve as the primary subject matter expert representing quantitative products to institutional clients, including exchanges, prime brokers, and market makers.
- • Translate complex financial engineering concepts into clear, logical explanations for non-technical audiences, including C-suite executives and decentralized finance stakeholders.
- • Relay critical market feedback from institutional partners to product and engineering teams to guide iterative improvements.
- • Own the end-to-end architecture of market infrastructure at a fundamental level, defining how prices are constructed for previously unindexed assets.
- • Collaborate with a globally distributed team spanning the US, South America, Europe, and Asia in a digital-first, remote-first environment.
- • Operate within a startup-level speed environment, adapting quickly to evolving market needs in the dynamic DeFi and institutional data space.
- • Contribute to the growth of Dourolabs XYZ Inc.’s Amsterdam hub by combining technical rigor with business development acumen.
- • Ensure methodologies are defensible, transparent, and trusted by sophisticated buyers requiring the highest fidelity and reliability in market signals.
- • Work across technical and business domains, balancing deep quantitative analysis with client-facing communication and partnership building.
- • Build data products that power pricing for both centralized and decentralized exchanges, addressing unique challenges in emerging financial infrastructure.
- • Maintain rigorous standards for data integrity, methodology documentation, and reproducibility in all quantitative outputs.
🎯 Requirements
- • 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
- • Strong grasp of how institutional clients evaluate and adopt new data infrastructure
- • Demonstrated ability to solve non-trivial problems with minimal guidance
🏖️ Benefits
- • Remote-first work environment with a globally distributed team
- • Opportunity to shape the future of institutional market infrastructure in DeFi and traditional finance
- • Direct impact on revenue and adoption through quant products used by exchanges and prime brokers
- • Collaborative culture blending technical expertise with client-facing business development
Skills & Technologies
About Dourolabs XYZ Inc.
Dourolabs XYZ is a technology firm focused on blockchain infrastructure and decentralized data services. It develops open-source software and APIs that connect real-world data to distributed networks, with a core emphasis on oracle systems and secure data verification. The company supports developers and enterprises building Web3 applications by providing reliable data feeds, governance tools, and scalable middleware. Its offerings span cross-chain compatibility, cryptographic proofs, and decentralized finance integrations, aiming to enhance transparency and resilience in digital ecosystems.
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