Head of Market Data

Role Overview

We are seeking a visionary and technically skilled Head of Market Data to lead the design development and evolution of our market data infrastructure. This individual will play a pivotal role in shaping our data architecture ensuring the seamless acquisition storage and accessibility of highquality historical market data for trading and research teams.

The ideal candidate is both a strategic leader and a handson expert with deep knowledge of L13 exchange data and the ability to architect fast scalable and highperformance data solutions.

Job Description

Strategic Leadership

• Define the vision and strategy for the companys market data systems ensuring alignment with trading and research objectives.
• Lead mentor and grow a highperforming market data engineering team.

Data Platform Architecture

• Architect highperformance scalable data platforms and lakes capable of managing largescale historical market data including data normalization and storage optimization.
• Develop solutions for efficient user APIs ensuring seamless access to data for backtesting research and analytics.

Historical Data Management

• Oversee the design and maintenance of systems for acquiring cleansing and storing historical market data from exchanges brokers and data vendors.
• Implement robust processes for data validation normalization and versioning to ensure accuracy and integrity.
• Ensure the reconciliation of data changes including handling corrections to past data and adapting to changes in exchange formats.

Collaboration and Stakeholder Engagement

• Partner closely with quantitative researchers traders and other stakeholders to understand data requirements and optimize systems for strategy development and backtesting.
• Establish strong relationships with market data providers ensuring robust integrations and consistent data availability.
• Ensure market data solutions support exchangetraded options cash equities and futures optimizing systems for these asset classes unique data requirements.

Operational Excellence

• Drive the scalability and performance of data systems to accommodate growing data volumes and evolving organizational needs.
• Optimize data storage costs while maintaining high levels of performance and reliability.
• Ensure compliance with regulatory requirements and support data retention and reporting audits.

Qualifications :

Required Skills and Experience:

• Proven leadership experience in managing and developing market data systems within a financial institution proprietary trading firm or buyside environment.
• Handson expertise with L13 exchange data including addressing challenges such as cleansing and normalization.
• Strong programming skills in Python and Go or Rust.
• Deep knowledge of market data formats (e.g. MDP ITCH FIX) and APIs from exchanges and data providers.
• Expertise in distributed data systems (e.g. Hadoop Kafka Spark) and ETL processes for handling largescale datasets.
• Advanced proficiency in SQL including complex queries performance tuning and data modeling.
• Extensive experience with Linux/Unix systems and their optimization for data storage and processing.
• Bachelors degree in Computer Science Engineering or a related field.

Preferred Qualifications:

• Experience working with unstructured datasets and alternate data sources.
• Proficiency with cloud storage platforms (e.g. AWS S3 Google Cloud Storage Azure) and costperformance optimization.
• Familiarity with data governance and compliance standards for financial data.
• Knowledge of containerization and orchestration tools (e.g. Docker Airflow SLURM).
• Exposure to machine learning workflows to support quantitative research teams.

Additional Information :

What we offer:

• Working in a modern international technology company without bureaucracy legacy systems or technical debt.
• Excellent opportunities for professional growth and selfrealization.
• We work remotely from anywhere in the world with a flexible schedule.
• We offer compensation for health insurance sports activities and nonprofessional training.

Remote Work :

Yes

Employment Type :

Fulltime