Senior Quant Data Engineer
BestEx Research (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 4d ago
Reach people at BestEx Research
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at BestEx Research you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize high-throughput data pipelines for tick-by-tick market and execution data.
- Maintain mission-critical data infrastructure with 24/7 availability and automated data quality monitoring.
- Collaborate with senior quantitative researchers and product teams to translate complex transaction cost analysis (TCA) research into production-grade features and client-facing analytics.
Minimum Requirements
- BTech or MTech 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).
- Hands-on experience in building and orchestrating data pipelines using Airflow, Dagster, or Prefect.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven ability for end-to-end ownership of data products within high-throughput, low-latency environments.
- Strong applied statistics skills with capability to analyze order flow and validate findings statistically.
- Experience or strong interest in fintech, electronic trading, or data-heavy research environments, comfortable interacting with senior quantitative researchers and clients.