Lead Quantitative Developer - Systematic

The Role

• You will play a key role in developing and implementing our quantitative trading strategies, which involve machine learning, data science, statistics, and econometrics.
• You will work closely with our research team to develop, test, and deploy new trading strategies, and you will be responsible for optimizing existing strategies for performance and scalability.

Our Technologies

• Our platform runs almost entirely on Linux, and most of our code is written in Python, using the full scientific stack—NumPy, SciPy, sklearn, pymlabourate, scikit-image, sklearn—as well as deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.
• We also have infrastructure written in Java and based on Kubernetes to manage execution, order book management for our own control unit, and other components for workflow management.
• You will also gain experience with the following tech stacks: Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerization, ArgoCD for deployment automation, a k8s-based CI/CD pipeline, and internal custom systems.
• To keep up with technological advancements in 2016, we constantly evaluate new tools and frameworks.

Key Competencies

Essential

• 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications
• Experience as a technical analyst or private client, including hands-on development (Linux, building tools, and applying your expertise in smart and scientific software to production trading infrastructure)
• Extensive experience with Python (advanced) and familiarity with related technologies: NumPy, Pandas, etc.
• Experience developing advanced statistical learning techniques, including the creation of metrics (metrics for assessing and optimizing the trading performance of portfolios, data analytics based on market data, and predicting market levels)
• Working knowledge of advanced statistics and machine learning frameworks (SciKit-Learn, TensorFlow, PyTorch, etc.)
• Familiarity with common cloud providers (AWS, Azure, GCP) and their services
• Fluent in English and Chinese

Advantages

• Experience in quantitative software development in an office setting, such as:
  • A retail bank, proprietary trading firm, or investment bank
• Proficient in additional programming languages such as Spark, Scala, Kubernetes, etc.
• Familiarity with cloud computing environments such as AWS, Azure, etc.
• Ability to manage complex data engineering projects closely tied to business value. M&G Group places significant emphasis on performance, automation, and scalability
• Previous experience in the financial industry
• Strong command of financial fundamentals and marketability
• Experienced in financial and market data analytics
• Relevant mathematical knowledge, such as statistics and time-series analysis

Working Here

• M&G prides itself on having a diverse workforce spread across the globe, offering global perspectives, diverse cultures, experiences, and languages.
• Our goal is to create an environment where every individual feels valued, respected, and empowered to contribute their unique talents.
• Our Hong Kong office brings together professionals and experts from the M&G team, as well as industry experts from across Greater China.
• The M&G Hong Kong team is one of China’s leading and fastest-growing fixed-income teams.

Inclusion, Work-Life Balance, and Flexible Work Arrangements

• As an international platform, we offer many opportunities for personal development and career growth.
• We believe in providing a supportive and inclusive work environment where all employees can thrive.
• M&G is committed to promoting inclusive practices, including equal opportunity employment policies.
• We strive to provide an inclusive environment and are committed to diversity in our workforce.
• Our community values creativity and innovation.
• M&G offers a range of flexible work arrangements, including remote work and flexible hours.
• M&G employees may be eligible for additional benefits through the company or may be allowed to participate in various reward programs.
• For example, a member of our research team will be able to use our on-site gym, and