Quant Developer - Python - Investment Bank

What will you be doing?

Candidate is expected to support US Program trading teams with following activities

- Create analytical models and tools leveraging the banks Data Science platform to help the desk manage their portfolio risk, exposure and performance.

- Build tools for back-testing new trade ideas and what-if analysis of trades

- Develop frameworks to analyse and optimize execution, maximize alpha and minimise risk.

- Provide blind risk trade prices and portfolio colour based on historical bidding patterns. Calibrate model on a continuous basis

- Produce rapid tactical solutions to help analyse special market events utilising critical thinking and programming skills.

What were looking for:

The role is ideally suited towards someone who has:

- Good understanding of Cash Equity Business

- Excellent Data Analytics skills

The candidate must have :

- Good Object Oriented Programming skills in Python

- Prior experience in SQL programming, specially Q/KDB

- Exposure to working in front end languages like Javascript

- Prior experience working with visualization tools such as Tableau, Dash etc. is a big positive.

- Familiarity with UNIX/LINUX environment

- Strong analytical skills

- Eye for details

- Excellent communication skills

- Flexible to work long hours when required

Skills that will help you in the role:

- 1-2 years experience working in a Quant or Data Science role