Python Developer - Global Trading Firm - Hong Kong

NLS Executive Search; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Health benefits

Development opportunities

Job summary

NLS Executive Search represents a top-tier trading firm seeking a quantitative developer to join its expanding team in Hong Kong. You will leverage Python and finance domain knowledge to enhance trading systems and data analytics, collaborating with analysts, traders and data scientists.

Role focuses on building robust models, data pipelines, backtesting, and performance analysis, with a strong emphasis on code quality, testing and documentation in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in CS, Mathematics, Finance, or related field.
• 3+ years of software development experience in financial services.
• Strong Python proficiency with NumPy, Pandas, SciPy.
• Experience with SQL and database management.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaborative teamwork.
• Experience with C++ or C# a big plus.
• Familiarity with ML techniques and frameworks.
• Knowledge of cloud computing and big data technologies (AWS, Hadoop).

Responsibilities

• Develop and maintain robust, scalable, and efficient trading algorithms and quantitative models.
• Collaborate with quantitative researchers to implement and optimize trading strategies.
• Perform quantitative analysis and back testing of trading strategies using Python and other tools.
• Design and implement data pipelines for real-time and historical data processing.
• Analyze large datasets to derive insights and improve trading performance.
• Ensure code quality and maintainability through proper documentation and testing.
• Stay updated with the latest trends in quantitative finance and technology.

Skills

Python

Problem-solving

Teamwork

Communication

Financial services knowledge

Education

Bachelor’s or Master’s in CS/Math/Finance

Tools

NumPy

Pandas

SciPy

SQL

AWS

Hadoop

C++

C#

Job description

Our client, a top tier trading firm with global presence, is actively hiring a various quantitative developers to join their expanding team. The ideal candidate will have a strong background in Python, as well as a solid financial background. You will collaborate with quantitative analysts, traders, and data scientists to enhance their trading systems and improve their data analysis capabilities.

The role:

• Develop and maintain robust, scalable, and efficient trading algorithms and quantitative models.
• Collaborate with quantitative researchers to implement and optimize trading strategies.
• Perform quantitative analysis and back testing of trading strategies using Python and other tools.
• Design and implement data pipelines for real-time and historical data processing.
• Analyze large datasets to derive insights and improve trading performance.
• Ensure code quality and maintainability through proper documentation and testing.
• Stay updated with the latest trends in quantitative finance and technology.

What you offer:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Finance, or a related field.
• At least 3+ years of experience in software development within financial services.
• Strong proficiency in Python and familiarity with libraries such as NumPy, Pandas, and SciPy.
• Experience with SQL and database management.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication skills and ability to work collaboratively in a team.
• Experience with C++ or C# a big plus.
• Familiarity with machine learning techniques and frameworks.
• Knowledge of cloud computing and big data technologies (e.g., AWS, Hadoop).

The sell:

• Competitive salary and market leading bonuses
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment.