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Quant Data Engineer

BestEx Research
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

1 - 4 Years

TYPE

FullTime

SKILLS REQUIRED

PythonSQLData PipelinesData QualityApache AirflowSQL Query OptimizationREST APIsRoot Cause Analysis

Job description

Overview

As a Quantitative Data Engineer at BestEx Research's Bengaluru office, you will help build and maintain the core data ecosystem for algorithmic trading, handling tick-by-tick market data and execution logs.

What you'll do

  • Design, build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data.
  • Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets.
  • Monitor pipeline health, debug data discrepancies in logs, and implement automated data-quality checks.
  • Build and maintain REST API-based applications to serve analytics and performance metrics to internal trading systems and external client interfaces.
  • Partner with Senior Quants and Product Managers to translate complex TCA research into production-grade features and custom client analyses.

What you'll need

  • 1 to 4 years of experience.
  • A highly motivated self-starter mindset with the ability to take end-to-end ownership of data products.
  • BTech/MTech in Computer Science, Data Science, Statistics or a related quantitative field.
  • Expert in Python (NumPy, Pandas, Polars, Multiprocessing etc) and advanced PostgreSQL (complex joins, window functions, and query optimization).
  • Hands-on experience building and orchestrating pipelines (e.g., Airflow, Dagster, Prefect).
  • Strong foundation in applied statistics.
  • Ability to form hypotheses, analyze idiosyncratic order flow, and validate results with statistical significance.
  • Ability to translate complex technical or statistical findings into clear insights for Senior Quants and clients.
  • Strong analytical problem-solving skills.
  • Good communication skills.

Nice to have

  • Experience building REST APIs (FastAPI, Django) to serve data at scale.
  • Exposure to C++ or low-latency environment concepts.
  • Familiarity with R for research and visualization.
  • Prior experience in fintech, electronic trading, or a data-heavy research environment is highly valued.
  • Exposure to ML.
  • Exposure to AI is a big plus.

Details

  • Location: Bengaluru, Karnataka, India (Prestige Tech Park, Outer Ring Road, Marathahalli Road, Bangalore).
  • Competitive compensation in India, including equity and cash bonuses.

Read the full description and apply on the company’s own careers page.

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Quant Data Engineer