Mft Fx Founding Quantitative Engineer - Singapore - HUMBLE SHEPARD PTE. LTD.

Description

We are a fast-growing quantitate trading firm incorporated in Singapore. We develop automated trading strategies and related systems to trade traditional financial products, especially forex futures and options.

We are focused on statistical analysis and the automation of investment decisions to minimise human bias in a fast-changing world.

We are committed to develop our people, provide a collaborative and supportive work environment, and deliver exceptional returns for our investors.

Responsibilities:

• Develop and implement MFT FX trading strategies, leveraging advanced quantitative techniques and data analysis
• Conduct research and analysis to identify new trading opportunities and optimize existing strategies
• Build and maintain trading models and algorithms, using programming languages such as C++, Python, or Java
• Continuously monitor and evaluate trading performance and implement improvements as necessary
• Collaborate with other traders and analysts to develop and refine trading strategies
• Manage risk exposure and ensure compliance with relevant regulations and internal policies
• Communicate trading ideas and strategies to other team members and senior management

Requirements

• Minimum of 5 years of experience as a Quant Trader specializing in MFT FX strategies at a reputable trading firm
• Strong knowledge of futures markets and related products, including algorithmic trading, statistical arbitrage, and market microstructure
• Proven track record of success in generating profits through MFT FX trading strategies
• Excellent analytical and quantitative skills, with a strong understanding of advanced mathematical concepts and statistical analysis
• Extensive programming skills in languages such as C++, Python, or Java
• Ability to work effectively in a fastpaced and dynamic trading environment
• Strong communication and interpersonal skills, with the ability to work collaboratively as part of a team
• Bachelors or Masters degree in a related field, such as mathematics, computer science or finance