Quant Researcher

**About the team and its role in QI**:
The EPAT Content team has former bankers, programmers, and academics who worked in financial firms, universities, and tech companies. We have educational backgrounds in engineering, electronics, economics, and finance. The common thread stringing all of us is an obsessive curiosity to learn more about quantitative finance.

We are responsible for the technical content and maintaining the quality of lectures delivered by top professionals worldwide in the EPAT (a six-month course conducted over weekends. You can check more about the course elsewhere on the website).

We want to hear from you if you're interested in and excited to be part of a growing firm.

**Responsibilities**:
Create content and conduct lectures, courses, and workshops for financial and educational institutions in India and abroad

Assist in the resolution of doubts and queries faced by students in lectures on quant finance

Enhance the content and delivery (pedagogy) of existing lectures

Write technical blogs on different aspects of quant trading

Supervise/evaluate the assignments and issues faced by course participants

Resolve queries on topics about statistics, machine learning, econometrics, Python, and other facets of quant trading

Contribute to research in the domain via writing and reviewing articles, manuscripts, and books connected to quant finance

4-6 years of full-time work experience (industry experience is necessary)

Completed a Doctorate or Master’s in engineering, statistics, computer science, finance, or other quantitative fields from a reputed university

Experience in knowledge delivery would be highly preferred

Expertise in the data science stack of at least one of Python and R (Python preferred)

Good grasp of math, statistics, and machine learning (in the context of financial markets)

Excellent writing, and speaking skills

Extensive knowledge of trading in the financial markets

Knowledge of financial instruments across asset classes

Ability to learn and digest new technical ideas/tools and implement them

Ability to work on multiple tasks and prioritize

Work over some weekends to take lectures or provide assistance to faculty during EPAT lectures (You will be eligible for compensatory offs that can be availed during weekdays)

**Salary - INR 1800000 - 2400000 Annually**

**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.

**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.