Posted on: 26/11/2025
Description :
About Company :
Findoc Group offers the best stock trading services to help institutions, businesses, and individual investors grow their wealth.
Understanding our clients needs and ensuring capital preservation is our top priority, always. Established in 2010, Findoc is a member of major stock exchanges such as the National Stock Exchange of India Ltd. (NSE), Bombay Stock Exchange Ltd (BSE), Multi Commodity Exchange of India Ltd. (MCX), and National Commodity & Derivatives Exchange Ltd (NCDEX).
Findoc has emerged as one of Indias leading financial services providers that facilitates trading & lending. Findoc is also an NBFC focused on unsecured and secured lending with focus on digital PL, Healthcare segment, consumer durables, term loans.
Through substantial investments in technology and innovation at our core, we strive to unlock endless possibilities with each interaction, actively partnering in the growth journey of our customers.
We firmly believe that settling for 'good' impedes achieving 'greatness,' hence, we continuously pursue business excellence and set new benchmarks.
Responsibilities :
- Develop and deploy completely automated systematic strategies with short holding periods and high turnover.
- Typical strategies deployed include Alpha-seeking strategies and Market Making.
- Rigorously back-test strategies.
- Advance existing research initiatives and explore new avenues for quantitative research and trading.
Requirements :
- Deep experience in HF/UHF Trading.
- Live HF Trading experience for at least 2 years.
- PnL Track record with excellent sharpe ratios.
- Strong mathematical and statistical aptitude.
- Programming experience in C++ or C.
- Exceptional analytical and problem-solving skills.
- Exposure to high-frequency trading or startup environments is advantageous.
- Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data.
- Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science.
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Posted in
Data Analytics & BI
Functional Area
Data Analysis / Business Analysis
Job Code
1581158
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