Quantitative Trader

GMP Technologies; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology recruitment service based in Singapore seeks Quant Traders to develop and optimize trading strategies. Candidates should have a strong academic background in hard sciences and possess excellent quantitative problem-solving skills. Programming experience in Python or similar languages is preferred. This role offers intensive mentorship alongside a fast-paced trading atmosphere, and no finance background is necessary. Interested candidates may contact the provided email to learn more.

Qualifications

• Excellent academic background in sciences like computer science, math, or physics.
• Strong understanding of time series analysis and derivatives pricing.
• Ability to work independently and optimize strategies.

Responsibilities

• Design and improve high-performance trading strategies.
• Work with software engineers on quantitative modeling.
• Analyze trade flow and optimize order execution.
• Backtest strategies and optimize performance.

Skills

Quantitative problem-solving skills

Mathematical aptitude

Programming in Python

Familiarity with SQL

Knowledge of Java/C++

Understanding of stochastic processes

Ability to communicate complex concepts

Backtesting and strategy optimization

Use of scikit-learn

Education

Bachelor's degree in hard sciences (preferred)

Tools

NumPy

pandas

scikit-learn

Job description

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 trade flow, 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.

To learn more about this opportunity, please contact Jerry at [e-mail].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Registration No: R1219180

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd's PDPA and e2i's PDPA.