About

Saurabh Agarwal is a highly skilled Quantitative Trader with over 7 years of relevant experience in the field. He is currently working as a Quantitative Trader at AlphaGrep, where he is responsible for developing and implementing quantitative trading strategies. Saurabh has a strong background in computer science, having completed a Bachelor's and Master's degree in Technology from the prestigious Indian Institute of Technology, Delhi. Prior to his current role, Saurabh worked as a Product Engineer at Sprinklr, where he was responsible for working on the company's leading product line "Social Listening". He has hands-on experience with highly scalable technologies like ElasticSearch, MongoDB, and Apache Kafka. Saurabh has designed highly concurrent, scalable, fault-tolerant, distributed features delivering high throughput and low latencies across big data technologies. He has experience working in an agile environment consistently using JIRA, BitBucket, and Zendesk. Saurabh's technical skill set includes Software Engineering, Big Data, MongoDB, Elastic Search, and Kafka. He is a highly motivated and dedicated professional who strives to keep things simple. Saurabh's past experience includes working at Quadeye as a Non-Compete and at Sprinklr as a Product Engineer. Overall, Saurabh is a highly skilled and experienced Quantitative Trader with a strong background in computer science and a proven track record of success. He is passionate about developing and implementing trading strategies that deliver results and is always looking for new and innovative ways to improve his skills and knowledge.