Manish Bhatt — VP of Engineering
Python and Java developer with over 16 years of experience. Currently working as a Senior Tech lead in JPM's Multi Asset Solution Quant Research technology. I am leading development of host of critical quant research applications like Long Term Capital Market Assumptions, various Quant models and Quant platforms. Previous experiences in Spark, Java, Scala, Python, R, Algorithmic Trading, Capital Markets, Back Testing frameworks, OMS, FIX, Exchange connectivity, Liquidity Aggregation, Cash Equities and Options, Fixed Income. Previously involved in writing OMS and RMS applications for one of the leading prop desks in India for statistical arbitrage models involving low freqncy and high frequency trading. Single IV Options strategy for the GFT desk. Developed back testing frameworks using Big Data infrastructure (Spark, HDFS and Yarn). Knowledge of Zeppelin and Livy Servers. Good domain knowledge of Market Neutral strategies. Worked for the Options OTC desk automating the Expiry and Assignments workflow. Involved in creating front office applications - OMS (Order Management Systems), Liquidity Aggregation Systems, Market Connectivity for Orders and Market data, Agile platform (Platform for running trading strategies for Cross Asset Products). Experience in platforms involving Ion Connectivity, Smarttrade , FIX protocol , RMDS and native broker libraries. Full stack developer for mobile web sites (J2EE and PHP). Hands on Experience in using (AWS) Amazon Web Services. Working knowledge of jQuery and other Java Script libraries. Ability to work in high pressure and deadlines driven projects. Primary skills include Spark, Core Java, Concurrency and Multi-Threading. Secondary skills include PHP, Spring MVC, Scala, git, svn, maven, ivy, REST services, Linux, Performance tuning, Concrodion test framework, Liaising with API providers. Interested in companies looking for problem crackers, out of box thinkers and tinklers.
Stackforce AI infers this person is a Fintech expert with extensive experience in quantitative research and automated trading solutions.
Location: London, England, United Kingdom
Experience: 15 yrs 11 mos
Skills
- Java
- Scala
- Equity Derivatives
- Automated E-trading
- Core Java
- Market Data
Career Highlights
- 16 years of experience in Python and Java development.
- Expertise in quantitative research applications and trading strategies.
- Strong background in automated trading and risk management frameworks.
Work Experience
JPMorgan Chase & Co.
Vice President Asset Management, Technology (3 yrs 5 mos)
Vice President Asset Management, Technology (2 yrs 11 mos)
Edelweiss Financial Services
Senior Manager (2 yrs 2 mos)
Morgan Stanley
Senior Manager (10 mos)
Royal Bank of Scotland
Software Designer (1 yr 4 mos)
Software Engineer (1 yr 10 mos)
Info Edge India Ltd.
Senior Software Engineer (1 yr 2 mos)
LibSys Corporation
SOFTWARE ENGINEER (2 yrs 2 mos)
Education
Bachelor of Technology (BTech) at Dehradun Institute of Technology