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Printer friendly ]Seller 254679 - India
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| Hourly Rate: | £36.94 | |
| Available From: | Now | |
| Overview: | Quantitative Research Analyst, Ph.D. (Computer Engineer ) worked several years in Research, HSBC and worked in Matlab, Data Mining, AI, Neural Network, Predictive Analytics, Consultant in Stoftware | |
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CV | 
SkillsCV
| • Presently working as Assistant Vice President and heading the Derivatives/Quants wing in the CIBM Research, HSBC, Bangalore, India. It involves, developing mathematically complex financial models (Matlab based Excel, VB Applications) for knowledge discovery from the databases, which are utilized in generating the trading ideas by onshore analysts. Worked in HSBC Head Quarters, Quants Team, in London for one month at Canary Wharf, London. • Previous job as Technology Consultant included Working out from an Idea to Concept Document, Development of Proof-of-Concepts, High Level Design of a Product, Development of working models or prototypes, Leading a division of Analytics and Prediction • Software Programming Skills: More than 8 years of experience in software analysis, design and development(inclusive of coding) using Matlab, C, C++, VB, OOA, OOD and familiar with J2EE, Web based Applications, Acesss, SQL, etc ., • Domain Knowledge : High quality expertise in the development of Predictive Analytics Models for different domains, (a)Quantitative Finance(latest): Stock price prediction tools (Monte Carlo Simulation Techniques), Options Optimizer, Portfolio Optimization Techniques (Black-Litterman Models), Volatility Forecasting Techniques, GARCH, EGARCH, TGARCH,etc., (b)Retail Analytics: Sales Forecasting Techniques, Correlation, Regression etc., Causality Analysis of Key Performance Indicators (c) Chemo-informatics: Virtual Screening of Drugs, Models for Drug similarity, Predictive Models for Drug likeliness, etc., Data Mining Techniques, (d) Document Image Analysis: Pattern Recognition models, Optical Character Recognition techniques, etc., • Mastery in High End Data Mining Expertise: More than 5 years in Machine Learning Algorithms, Artificial Intelligence based Applications for predictive analytics and image Pattern Recognition tasks, Soft Computing Techniques, Neural Networks, Genetic Algorithms, Fuzzy Systems, and Hybrid Systems • Educational Qualifications: Ph.D. in Computer Science & Engineering along with 2nd Rank M.Tech (Bio-Medical Instrumentation) and First Class B.E. (Electronics & Communication Engg). • The title of Thesis is “Neural Network based Techniques for Document Image Processing: A New Approach”. The thesis includes, review of current state of art techniques in various Image Processing techniques, analysis, design and implementation of at least around 10 soft computing based document image Pattern Recognition Models and all necessary and associated subsystems. • Publications: Published several peer reviewed Research Papers in International, National Conferences and Journals. • Personal Qualities: High Achiever, Good Self Esteem, Born Leadership skills, Believed in “Work is Worship” philosophy, Pleasant Attitudes, Very Tough at Work, Love Fun in the life, Very much focused on continuous growth and development. |
Employment History
(Dec 2005 & ongoing)
Assistant Vice President- Quantitative Analyst
Bangalore It involves, developing mathematically complex financial models (Matlab based Excel, VB Applications) for knowledge discovery from the databases, which are utilized in generating the trading ideas by onshore analysts. Worked in HSBC Head Quarters, Quants Team, in London for one month at Canary Wharf, London.
Professional Qualifications
| Ph.D,( Computer Engineering) M.Tech (Instrumentation Technology -Engineering) B.E.,(Electronics & Communication Engineering) |
Quantitative Research Lead
Categories & Skills
Education and Research
Categories
Skills
- Data Analysis (Research)
- Research (Research)
- Senior Researcher (Research)
- Statistics
IT & Internet
Categories
Skills
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