About the job
Trexquant is hiring a Senior Data Architect to lead the creation of a new data platform for quantitative research and simulation. This role centers on building a scalable system that unifies data from hundreds of vendors, ensuring reliable and accessible information for research and alpha generation across multiple asset classes.
Key Responsibilities
- Design and implement a data platform that consolidates vendor datasets, offering consistent, high-quality access for research and simulation teams.
- Develop storage and retrieval solutions to support large-scale historical backtesting and high-frequency research.
- Create user-friendly interfaces and APIs, enabling researchers to discover variables, review metadata, and assemble standardized datasets for rapid idea testing.
- Work closely with quantitative researchers and simulation teams to understand their requirements and ensure the platform meets analytical and performance needs.
- Set standards for data modeling, normalization, version control, and quality assurance across diverse asset classes and sources.
- Partner with infrastructure and DevOps teams to enhance data pipelines, caching, and distributed storage for improved scalability and reliability.
- Prototype and launch internal tools that improve research efficiency and data transparency.
- Mentor data engineers, supporting well-documented and maintainable data systems.
Platform Scope
The platform will handle data for a broad range of financial instruments, including equities, futures, FX, ETFs, corporate bonds, and options. The focus is on transforming raw vendor feeds into structured, analysis-ready datasets that enable systematic research and backtesting.
Location
This position is based in New York, New York, United States.

