Quant Data Engineer
BestEx Research (company site, opens in a new tab)1–4 yrsBengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize high-throughput data pipelines handling tick-by-tick market and execution data.
- Maintain mission-critical data infrastructure ensuring 24/7 data availability and high pipeline health with automated quality checks.
- Collaborate with senior quants and product managers to translate complex transaction cost analysis research into production-grade features and client analytics.
Minimum Requirements
- 1-4 years of relevant work experience.
- BTech/MTech degree in Computer Science, Data Science, Statistics, or related quantitative field.
- Expertise in Python (Numpy, Pandas, Polars, Multiprocessing) and advanced PostgreSQL (complex joins, window functions, query optimization).
- Experience with data pipeline orchestration tools such as Airflow, Dagster, or Prefect.
Ideal Candidate Profile
- Comfortable taking end-to-end ownership of data products and working in high-stakes, real-time trading environments.
- Strong statistical background with ability to analyze order flow and validate results statistically, suitable for fintech or electronic trading data-heavy research.
- Experienced in collaborating closely with senior quantitative researchers and product managers, capable of translating technical/statistical findings into actionable insights.