Quant Data Engineer-
BestEx Research (company site, opens in a new tab)1–4 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain high-throughput data pipelines and mission-critical infrastructure handling market and execution data for algorithmic trading.
- Develop and manage scheduled data workflows (using Airflow/Dagster) ensuring 24/7 data availability across global markets.
- Collaborate with Senior Quants and Product Managers to translate transaction cost analysis research into production-grade features and custom client analytics.
Minimum Requirements
- Work Experience Required: 1 - 4 years relevant experience.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics or related quantitative field (BTech/MTech).
- Proficiency in Python (Numpy, Pandas, Polars, Multiprocessing) and advanced PostgreSQL including query optimization and complex joins.
- Hands-on experience building and orchestrating data pipelines using Airflow, Dagster or Prefect.
Ideal Candidate Profile
- Experienced quantitative data engineer comfortable working at the intersection of data engineering, statistics, and algorithmic trading research.
- Capable of taking end-to-end ownership of scalable data products and translating complex statistical results into actionable insights for senior quant researchers and clients.
- Familiar with fintech or electronic trading environments, with ability to operate in a low-latency, high-throughput live market data ecosystem.