PythonRole of a Quantitative Trader
Role and Responsibilities:
*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.
*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions
Requirements:
Education (Candidate should satisfy one of the following)
B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
B.Tech with good grades and strong quantitative aptitude
CFA/FRM Level 1 cleared
Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)
Preferences:
Following skill sets are not required but candidate will get preference if he/she possesses any of the following:
Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
MATLAB/R for Time series analysis
Knowledge of AFL ( Amibroker Formula Language)
Benefits and Advantages for Candidate:
Steep learning curve
Extensive training on mathematics of derivatives market
Dynamic work environment.
Merit based growth
Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)
Pay Structure:
Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)
Pay Structure post the training period:
Base Salary of 5 Lacs p.a + Performance Bonuses
Working Hours:
We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.
Standard Market Hours : 8:45 – 5.00 p.m
Training Pre and Post market hours
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon