Job
Description
Internship available for PhD, Post Doctorate candidates with strong Academic throughout!!
Highlights of the Project:
Average daily commitment required (In hours): 25hrs a week
Internship Duration: 6 Months.
Stipend: 15k per Month
Number of openings: 5
Joining Time: Preference will be given to those who can join by August, 2022
Project and Internship work:
This hire will work with a world-class trading, technology, and research team to create and maintain a powerful and robust quant trading system.
Use applied mathematics and modern statistics to develop trading algorithms
Partner with researchers and engineers to implement modeling protocols into products
Learning Objective:
- One will learn to use applied mathematics and modern statistics to develop trading algorithms
- The selected candidate will partner with researchers and engineers and will learn to implement modeling protocols into products
- The shortlisted candidate will get to know the understanding of statistical signal processing, convex/non-convex optimization, scientific/numerical computation
- The selected candidate will learn the importance of portfolio construction analysis, risk analysis, transaction cost analysis which will further help them in their day to day research work
Desired Candidate Profile
- PhD, Post Doctorate from Reputed Indian Institutes
- Specialization in Mathematics, Statistics, Physics or Computer Science preferred
- Ability to communicate complex ideas clearly
- Knowledge in statistical signal processing, convex/non-convex optimization, scientific/numerical computation will be given added weight age
Additional qualifications may include:
Familiarity with portfolio construction analysis, risk analysis or transaction cost analysis domain knowledge in the following subjects: machine learning, time series, and robust statistics.
Perks and Benefits
- Real and live projects opportunities
- Flexible working hrs
- Email Id for Trainees
- Training under the consideration of experienced researchers
- Full time opportunity after internship