Bestex Research Hiring Drive 2024 For Quantitative Analyst / Data Scientist | Location Bengaluru

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Bestex Research Hiring Drive 2024: Bestex Research Hiring Drive 2024 for its Quantitative Analyst / Data Scientist. Bestex Research Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s in computer science, or data science or a Master’s in statistics, economics, quantitative finance, or MBA. if you are interested, please apply as soon as possible.

Company Name: Bestex Research

Role: Quantitative Analyst / Data Scientist

Location: Bengaluru

Experience: 0 – 3 years

Qualification: Bachelors in computer science, data science or Masters in statistics, economics, quantitative finance, MBA

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Bestex Research Hiring Drive 2024

Job Description:

  • Quantitative analyst contributes to the design and management of execution algorithms for global equities, futures, and foreign exchange with the aim of continuously minimizing trading costs for our clients
  • BestEx Research quants will learn about algorithmic trading, data management, performance measurement, and market microstructure, globally
  • Quants are nested within a talented team of experts and practitioners in the field and may participate in writing research papers and interface closely with client research teams to improve trading costs
  • Our internal research environment includes tick-by-tick market data, historical backtesting simulators, instrument-level daily analytics and normalized order and execution data to facilitate new research
  • Our infrastructure allows speedy creation of execution algorithms and contains simulation capability for testing


  • Contribute to end-to-end research and implementation of execution algorithms, including idea generation, data collection and cleaning, model development, evaluation, and improvement
  • Work with Senior Quants and Product managers to produce custom client analysis and refine existing algorithms
  • Maintain, and optimize data pipeline and ETL process for our analytics product
  • Review results of production implementation including verification and testing.
  • Document theory, models, and results for a variety of audiences
  • Analyze and understand the idiosyncratic characteristics of client order flow and optimize execution algorithms


  • Computer science
  • Data management
  • Simulation
  • Data collection
  • market data

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