Jitendria Vel — Associate Consultant
Enjoys working with Dynamic information, Passionate about HFT, Stat-Arb, high performance computing, statistics Work includes the following operations Calibration, Optimisation and Finding communicating models Understanding and Modelling multicollinearity in data Effectively using multiple linear regressions for variable selection and prediction Providing insights into relationships between financial variables. Model fitting Suitability, Quality, Relevancy Training, Validating, Testing Hyper parameters, Optimising bias variance Finding Communicating models Evaluating Models based on Strengths and weaknesses Assumptions and interpretations Applications and implementations Believes in Fewer models greater depth
Stackforce AI infers this person is a Fintech professional specializing in quantitative trading and algorithm development.
Location: Dubai, United Arab Emirates
Experience: 8 yrs 6 mos
Career Highlights
- Expert in high-frequency trading and statistical arbitrage.
- Proficient in developing and validating quantitative models.
- Strong background in financial engineering and algorithmic trading.
Work Experience
Stealth Fund
Senior Quantitative Analyst (1 yr 6 mos)
Ai For QuantResearch
Member (1 yr 10 mos)
LCX
Head of Market Making (1 yr 11 mos)
Quantitative Trader (10 mos)
BV Trading
Algorithmic Trader (4 yrs 2 mos)
Education
Master of Science - MS at WorldQuant University
B.E at Anna University Chennai
at Velammal matric hr sec school