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Senior Data Architect at Trexquant | New York

TrexquantNew York, New York, United StatesNew
On-site Full-time $175K/yr - $200K/yr

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Experience Level

Senior

Qualifications

Essential QualificationsMinimum of 7 years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering within a financial or research-focused environment. Demonstrated expertise in designing and implementing scalable data storage solutions such as columnar databases, time-series systems, object stores, or data lakes. Advanced proficiency in Python and familiarity with contemporary data stack technologies including Parquet, Arrow, Spark, SQL/NoSQL, and distributed file systems. In-depth understanding of time-series and financial data modeling, including management of multiple vendors, instruments, and frequencies. Experience in developing data interfaces, APIs, or tools that cater to researchers, data scientists, or quantitative analysts.

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.

About Trexquant

Trexquant is a leading technology-driven investment firm that specializes in research and quantitative trading across various asset classes. We leverage cutting-edge data infrastructures to empower our research teams and drive innovative investment strategies.

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