Quantitative Developer (Python) - Global Trading Firm - Hong Kong

NLS Executive Search

Hongkong

On-site

HKD 900,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and market leading bonuses

Comprehensive health and wellness benefits

Opportunities for professional development

Collaborative environment

Job summary

A top global hedge fund in Hong Kong is actively seeking a Front Office Python Developer. The successful candidate will develop trading algorithms, collaborate with quantitative analysts, and conduct quantitative analysis. Strong Python expertise and a financial background are essential. This full-time position offers competitive salary, health benefits, and opportunities for professional growth.

Qualifications

4+ years of experience in software development within financial services.
Strong proficiency in Python with libraries such as NumPy, Pandas, and SciPy.
Excellent communication skills.
Experience with SQL and databases.
Familiarity with ML frameworks and cloud/big data.

Responsibilities

Develop and maintain trading algorithms and quantitative models.
Collaborate with quantitative researchers for trading strategies.
Perform quantitative analysis using Python.
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

Quantitative analysis

Collaborative skills

Problem-solving skills

SQL

C++ or C#

Machine learning techniques

Cloud computing

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Finance, or a related field

Tools

NumPy

Pandas

SciPy

SQL databases

AWS

Hadoop

AWS

Hadoop

Job description

Front Office Python Developer - Global Hedge Fund - Hong Kong

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Our client, a top tier global hedge fund, is actively hiring a various front office python 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 4+ 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