JP Morgan Chase – Vice President – Systematic Trading J.P. Morgan

The Corporate Institute; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

The Corporate Institute in Mumbai invites applications for a QTR Systematic Trading role. The candidate will join a dynamic team central to trading activities, focusing on computer-assisted decision making for price making and risk hedging. Strong quantitative background and experience with Python and UI tech are essential.

Responsibilities include pricing/hedging tool development, data-driven decision support, and expanding product knowledge to excel in the role.

Qualifications

• Bachelor's degree or higher in a quantitative discipline.
• Experience with Python and relevant quantitative packages (numpy, pandas).
• Experience with relational data (SQL queries).
• Experience with typescript/React/Javascript for user interface.
• Experience/Interest in derivatives products and pricing techniques (Forwards, Swaps, Options).

Responsibilities

• Partner with Trading, Tech and other Quant teams to define priorities for pricing, hedging and risk management tools used on a daily basis.
• Develop and support data-driven decision making tools leveraging in-house analytics and prediction models; build fully automated systems with a high degree of quantitative optimization.
• Proactively expand product, model and technical knowledge required to excel in the role.

Skills

Python

Numpy/Pandas

SQL

TypeScript/React

JavaScript

Derivatives pricing

Education

Bachelor's degree or higher in a quantitative discipline

Tools

KDB+

Job description

Description:

QTR Systematic Trading role

• Talented candidates with a good blend of Mathematics, Computer Science and Financial Products knowledge will have the opportunity to join a dynamic team sitting at the heart of our Trading activities.


• As a member of the team, you will focus on computer assisted decision making solutions that supports price making activities as well as risk hedging activities.

Job Responsibilities:

• Partner with Trading, Tech and other Quant teams to define priorities for pricing, hedging and risk management tools used on a daily basis.


• Develop and support data-driven decision making tools leveraging in-house analytics and prediction models; build fully automated systems with a high degree of quantitative optimization.


• Proactively expand product, model and technical knowledge required to excel in the role.

Required qualifications, capabilities, and skills:

• A Bachelor or above in a quantitative discipline.


• Experience with Python and relevant quantitative packages (numpy, pandas).


• Experience with relational data (SQL queries).


• Experience with typescript/React/Javascript for user interface.


• Experience/Interest in derivatives products and pricing technics (Forwards, Swaps, Options).

Preferred qualifications, capabilities, and skills:

• Experience/Interest in market making techniques and algorithm development.


• Technical skills in data manipulation, extraction and analysis (Q function in KDB)