Python Developer

Aptitude Asia Limited; Singapore; On-site; SGD 110,000 - 160,000; Full time

Job summary

Aptitude Asia Limited seeks a Python Software Engineer for our client, a top-tier hedge fund, to design and maintain robust trading applications in Singapore. You will work with trading, research, and data teams to build analytics for a commodities trading operation based in Singapore.

Role focuses on data-driven solutions, scalable platform enhancements, and close collaboration across multi-site teams. Prior commodity exposure is a plus and strong Unix/databases knowledge is required.

Qualifications

• Bachelor’s degree in CS/Engineering or related field or equivalent experience.
• Proficient in Python; experience with multiple languages is a plus.
• 3–7 years of Software Engineering experience, with multi-site architectures.
• Strong knowledge of Unix and databases.
• Exposure to commodity markets is advantageous.

Responsibilities

• Collaborate with trading, research, and data teams to create analytics for a commodities trading operation in Singapore.
• Identify business challenges and implement technical and quantitative solutions.
• Analyze large datasets and develop trading analytics tools to enhance decision-making.
• Incorporate data insights into financial models and investment strategies.
• Lead enhancements to the technology platform ensuring scalability and efficiency.

Skills

Python

Data analysis

Collaboration

Software engineering

Education

Bachelor's degree in CS/Engineering or related field

Tools

Unix

Databases

SQL

Job description

Our client, a top-tier hedge fund, is seeking a talented Python Software Engineer to join the Engineering team in Singapore. In this role, you will be responsible for designing, developing, and maintaining robust trading applications that facilitate trading strategies in the commodities market.

Key Responsibilities:

• Collaborate with trading, research, and data teams to create essential analytics for a commodities trading operation based in Singapore.
• Identify business challenges and implement technical and quantitative solutions.
• Analyze large datasets and develop trading analytics tools to enhance decision-making.
• Incorporate data insights into financial models and investment strategies.
• Lead enhancements to our advanced technology platform, ensuring scalable and efficient solutions.

Required Qualifications:

• Strong academic background with a Bachelor's degree or higher in Computer Science, Engineering, or a related field; equivalent experience is also acceptable.
• Proficient in Python with experience in multiple languages being a plus.
• 3 to 7 years of experience in Software Engineering, particularly with complex, multi-site system architectures.
• Strong knowledge of Unix operating systems and familiarity with various database technologies.
• Previous exposure to commodity markets is advantageous, along with a drive to thrive in a collaborative environment.