AVP- Quant Research (q/kdb

Developing mathematical models for systematic quantitative trading strategies, for example, Electronic Trading Algorithms, Index Arbitrage, Statistical Arbitrage, portfolio optimization, flow recommendation research, IOI and Market Making.
Carrying out market microstructure research and writing white papers
Evaluating quantitative models, stability testing and back-testing the strategies over simulated environment and extreme market conditions
Implementing strategies in trading frameworks
Qualifications:
Earned a Master or equivalent degree program in math, statistics, econometrics, financial engineering or computer science
Exceptional analytical, quantitative and problem-solving skills
Good communication and interpersonal skills
Big Data Experience
Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization, Machine Learning)
Algorithms and Data Structures knowledge
Prior experience in microstructure research or developing execution strategies or short term price prediction models
Python and q/Kdb experience is a plus
Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable.