<div>Job Description : </div><div> QuantInsti is seeking to hire qualified candidates for a full time position in content development and delivery in Algorithmic &amp; Quantitative Trading. Responsibilities : - Research on quant trading strategies involving but not limited to machine learning, NLP, application of statistics and econometrics. - Developing content for online self paced courses related to Algorithmic and Quantitative trading. - Get involved in the complete value chain of the course, right from ideation to execution. - Creating and backtesting quantitative trading strategies and models - Research on the best practices in online content creation and delivery. - Enhancing the content and delivery (pedagogy) for the existing course(s). - Writing technical blogs for the benefit of quantitative trading enthusiasts. Education :</div><div> - Degree in Finance, Mathematics, Physics, Statistics, Computer Science or Engineering. Requirements : - Excellent grasp on trading in financial experience - Exposure to Machine Learning - Exposure to any form of code development is an added advantage - Knowledge of Python language - Strong analytical and quantitative background - Good communication skills and team player Experience required : 0 - 3 years Salary Range : INR 8,00,000 - 15,00,000 Annually Other Aspects / Skills : - Creative and analytical mind. - High attention to detail and accuracy. - Ability to work under pressure and deadlines. - Ability to work on multiple projects at a given time. Good organizational and planning skills About QuantInsti- : QuantInsti- was started in 2010, by the founders from iRage ? a leading quant and algo trading firm in India.- From its early days focused on bridging the industry knowledge gap in the field of high-frequency trading, we have come a long way in the last decade. Today, we have a user base from 180+ countries with a growth rate much over 50% year-on-year. At QuantInsti-, we swear by our goal of revolutionizing the way people approach the financial markets by empowering individuals and institutions with bleeding-edge education and technologies. We offer high-quality- learning experience - and best-in-class- courses - geared towards a global audience in quantitative trading and investing. Our in-house developed technology aims to bring institutional-grade tools and- platforms - to democratize systematic and quantitative trading. We achieve this by putting technology at the core of our business. We have a complex ecosystem of microservices and applications deployed over a fully cloud-based infrastructure. Our tech stack includes Node.js, Vue.js, Python, and Docker. The team is driven by user experience, with a strong focus on delivering scalable software solutions to complex and evolving business goals. </div><div>Why you should join us : At QuantInsti, we work at the cutting edge of FinTech and EdTech offerings. We work with the newest technologies with the goal of delivering the best experience to our users in a scalable manner, with high-performance and availability. If you love to be challenged intellectually, rest assured we have plenty of them for you. We follow an open and free work culture, where you are encouraged to ask questions, learn, and teach. We offer a fast-paced environment where you take ownership of what you design and deliver. If you are looking for a move where you will find a reason to wake up every morning and rush to work, come join us. The Apply Button will redirect you to website. Please apply there as well. </div>

Mumbai

QuantInsti - Quant Analyst - Content Development - Algorithmic & Quantitative Trading 

QuantInsti - Quant Analyst - Content Development - Algorithmic & Quantitative Trading  ,Job Description for QuantInsti - Quant Analyst - Content Development - Algorithmic & Quantitative Trading  in QuantInsti Quantitative Learning Pvt. Ltd. in  Mumbai for (0-3) years of experience. Apply Now!

Job Description for QuantInsti - Quant Analyst - Content Development - Algorithmic & Quantitative Trading  in QuantInsti Quantitative Learning Pvt. Ltd. in  Mumbai for (0-3) years of experience. Apply Now!