Description

Overview

My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative

strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep

expertise in trading, technology and operations and attribute their success to rigorous scientific research.

Responsibilities:

Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities

Generate PnL tracking and attribution reports based on trade ideas

Monitor and analyze portfolio performance to generate risk reports

Hedge books and allocate hedges appropriately

Execute large or complex trades which cannot be automated due to complexity or liquidity constraints

Qualifications:

Recent, or soon to be graduate, with relevant course work, internship, or other applicable experience or knowledge

Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations

Research, Computer Science, Physics, Economics, Finance

Strong communication skills with the ability to collaborate with teammates globally

Strong sense of urgency with the ability to work well in a fast-paced environment

Programming skills essential, with at least one major programming or scripting language, strong preference for Python.