Head of Data

October 30

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Keyrock

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Finance • Fintech • Crypto

Keyrock is a leading financial services company specializing in digital asset markets and liquidity solutions. Established in 2017, Keyrock provides market making, OTC trading, options desk services, treasury solutions, and liquidity pool management, tailored for a tokenized world. The company operates across centralized and decentralized platforms with a focus on enhancing and optimizing liquidity through advanced algorithms, ensuring competitive pricing and effective asset management. Keyrock partners with institutions and foundations, supporting them in a rapidly evolving digital economy. With a global reach, the company is based in the EU, UK, and Switzerland and employs over 170 experts worldwide, dedicated to driving success in the digital asset industry.

51 - 200 employees

Founded 2017

💸 Finance

💳 Fintech

₿ Crypto

💰 $72M Series B on 2022-11

📋 Description

• Define and execute a data strategy focused on trading and market data, ensuring accuracy, timeliness, and integrity across the lifecycle. • Collaborate with the Architecture Team to build a robust and compliant data architecture optimised for analytical workloads, operational systems, and regulatory obligations. • Drive the organisation’s data excellence agenda, embedding reliability and observability across the data platform, while ensuring alignment with established governance standards. • Prioritise initiatives that enhance trading visibility, risk transparency, and business performance through data. • Identify opportunities where data and ML capabilities can enhance trading performance, risk assessment, and business efficiency. • Lead the implementation and evolution of cloud-native data platforms that support ingestion, transformation, and analytics of trading and financial datasets, in close collaboration with the Architecture Team. • Standardise data ingestion and modelling patterns to ensure interoperability between systems. • Collaborate closely with the Architecture Team to align data platform evolution with enterprise and application architecture principles. • Ensure data systems meet performance, cost, and scalability targets across multiple environments. • Drive the adoption of data engineering best practices that balance agility with operational excellence. • Enforce and maintain robust data governance across the full lifecycle, including data lineage, access control, and retention.

🎯 Requirements

• 10+ years of experience in data engineering, data architecture, or data platform leadership roles. • Proven experience in building and managing trading or financial data platforms. • Strong understanding of market data feeds, trade lifecycle, and financial data models. • Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents.) • Experience implementing ML Ops frameworks (e.g., MLflow, Kubeflow, Prefect, or SageMaker) • Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management. • Experience working in Kubernetes and cloud-native environments (AWS preferred). • Sound knowledge of data governance, security, and compliance best practices. • Demonstrated ability to lead cross-functional teams and influence data-driven decision-making.

🏖️ Benefits

• Competitive compensation and flexible work arrangements. • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely. • A leadership role driving the firm’s trading data strategy and data excellence vision. • A collaborative engineering culture with strong partnerships between Data, Architecture, Infrastructure and Platform teams. • The opportunity to shape an enterprise-grade data foundation that powers trading, analytics, and strategic decision-making at scale. • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence.