Senior Quantitative Researcher

The Edge Partnership

Singapore

4-6 Years

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Posted 14 hours ago
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Job Description

Our client, a well- established tier- 1 global proprietary trading firm is expanding their business in USA, Europe, Dubai, Asia they are looking for a Senior Quantitative Researcher to join them.

As a member of the firm's trading teams, a Senior Quantitative Researcher will be using the company's in-house trading system-one of the fastest and most comprehensive in the world-to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Please email your cv directly to [Confidential Information]in word format with job reference no.16165 to

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful.

EA Licence: 16S8131

Recruiter Licence: R22104669

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Key responsibilities

Designing, implementing and deploying trading algorithms
Researching high to mid frequency alphas across asset classes (including digital assets)
Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
Creating tools to analyze data for patterns and developing data platforms
Contributing to libraries of analytical computations to support market data analysis and trading
Developing, augmenting and calibrating exchange simulators

Role requirements

A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
Have at least 4 years of quant research or trading experience and have worked in a quantitative trading environment will be ideal but not compulsory
For candidates who are keen to take on portfolio managers role, ideally they have a Sharpe Ratio of above 2.5
A strong background in mathematics and statistics
Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
Familiarity with signal generation and statistical models
Strong programming skills in Python or C++