Singapore Quant Trader

Eka Finance; Singapore; On-site; SGD 200,000 - 260,000; Full time

Job summary

Eka Finance is seeking a Quant Trader to manage real-time trading systems, apply risk management, and collaborate with researchers and developers to deploy novel order execution methods.

The role requires a Math/CS/Finance background, strong Python skills, 5+ years of relevant experience, and keen attention to detail for fast-paced markets in Singapore.

Qualifications

• A Bachelor's Degree in Math, Computer Science, Statistics, Physics, Engineering, Computational Finance (or equivalent).
• Strong proficiency with Python.
• Excellent written and verbal communication skills.
• 5+ years of experience in a related field.
• Demonstrated trustworthiness and high ethical standards.

Responsibilities

• Oversee real-time trading systems and risk management for proprietary strategies.
• Develop and test quantitative trading models and order execution methods.
• Collaborate with researchers and core developers on deployment.
• Monitor live trading and ensure system reliability.
• Maintain detailed documentation and perform trade reconciliations if needed.

Skills

Python

Real-time monitoring

Analytical thinking

Teamwork

Financial markets interest

Attention to detail

Communication skills

Education

Bachelor's degree in Math, CS, Statistics, Physics, Engineering, Computational Finance

Job description

Role: -

Quant Traders are responsible for managing trading systems in real time and applying risk management in proprietary trading strategies. This role also includes monitoring and maintaining the trading system, optimizing the firm’s trading, as well as handling risk and trade reconciliations. Working in close collaboration with quantitative researchers and core developers, you will research, develop, test, and deploy novel order execution and model training methods to increase trading efficiency.

1. Oversee the fund’s algorithmic-based trading systems in real time, applying risk management principles in the design and implementation of new and proprietary quantitative trading strategies, as well as the optimization of existing strategies


2. Conduct statistical analysis, deriving practical insights to optimize risk allocations


3. Build statistical models to improve trading execution, including through the research, development and quantitative testing of novel order execution models


4. Develop tools to facilitate trading operations, and apply computational methods to optimize existing trading strategies


5. Increase efficiency and enhance the firm’s trading activities by reviewing and analyzing statistical information and handling our risk and trade reconciliations


6. Coverage of live trading


7. Must be able to work required shift hours (Occasionally Friday and Saturday may be required on a rotational basis with flextime included )

Requirements: -

1. A Bachelor's Degree in Math, Computer Science, Statistics, Physics, Engineering, Computational Finance (or equivalent)


2. A strong proficiency with Python


3. Capable of working independently as well as part of a team


4. Interested in financial markets


5. You enjoy watching the markets in real-time


6. Exceptional attention to detail and desire to understand issues deeply


7. An outstanding work ethic and ability to thrive in a fast-paced environment


8. You have superior written and verbal communication skills


9. You have 5 or more years of experience in a related field


10. You have proven trustworthiness and performance under the highest ethical standards