Quantitative Trader

GMP Technologies; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

GMP Technologies, a leading financial firm in Singapore, seeks a Quant Trader to design, operate, and improve high-performance algorithmic trading strategies deployed on electronic venues worldwide.

You will focus on quantitative modeling, risk management, and market analysis, collaborating with software engineers to implement strategies using statistics and machine learning. A strong academic background and programming ability are essential.

Qualifications

• Strong background in quantitative finance or related fields.
• Coursework in stochastic processes, time series, and derivatives pricing.
• Proficient in programming and backtesting frameworks.

Responsibilities

• Design, operate, and improve high-performance algorithmic trading strategies.
• Perform backtesting and strategy evaluation.
• Collaborate with software engineers to implement quantitative models and trading techniques.

Skills

Python

SQL

Java

C++

NumPy

pandas

scikit-learn

Education

STEM degree (Bachelor's or higher)

Job description

A leading financial firm is seeking a Quant Trader to design, operate, and improve high-performance algorithmic trading strategies deployed on electronic trading venues worldwide. The firm specializes in providing liquidity to global markets and innovative trading solutions to clients.

The Role

Quant Traders are responsible for the design, operation, and improvement of high-performance algorithmic trading strategies, focusing on quantitative modeling, risk management, and market analysis. During an intensive mentorship and training period, Quant Traders learn the intricacies of the trade flow process, including order execution, market data analysis, and strategy optimization. This role involves working closely with software engineers to enhance and develop trading strategies using advanced statistical techniques, machine learning algorithms, and data analytics. Quant Traders become experts in trading technology and its interaction with the market, playing a crucial role in the evolution of market microstructure, liquidity provision, and risk management.

The Candidate

• Excellent academic background; all majors are welcome, but hard sciences are preferred (computer science, math, physics, statistics, and related fields).
• Outstanding quantitative problem-solving skills and mathematical aptitude, with a strong understanding of stochastic processes, time series analysis, and derivatives pricing.
• Programming experience is required; proficiency in Python, SQL, Java, or C++ is advantageous, along with familiarity with libraries such as NumPy, pandas, and scikit-learn.
• The ability to communicate complex quantitative concepts precisely and quickly.
• The ability to work independently and create solutions without close direction or supervision, with a focus on backtesting, strategy optimization, and performance evaluation.
• Highly motivated and tenacious individual with a proven ability to take initiative and work independently and within a team.
• Team player: authentic and genuine, capable of working towards collective goals in a fast-paced trading environment.
• No finance background is necessary, but a strong interest in quantitative finance and market dynamics is essential.

The Process

After passing an application screening, candidates will be sent an online programming test via email as the first step in the process. This test is used to assess coding ability and quantitative problem-solving skills.