Lead Quantitative Developer - Systematic

The Role

• You will play a key role in building and implementing our quantitative trading strategies involving 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 is almost entirely running on Linux and most of our code is on Python, with the full scientific stack: NumPy, SciPy, sklearn, pymlabourate, scikit-image, sklearn, and deep learning stacks: TensorFlow, PyTorch, Keras, etc.
• We also have infrastructure written in Java based on Kubernetes to manage execution, Order book management for our own Control unit and other for workflows management.
• You will also be exposed to these tech stacks: Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerization, ArgoCD for deployment automation, k8s based CI/CD pipeline, and internal custom systems.
• For technology to pass over 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, encompassing hands-on development (Linux, building tools, and migrating your experience in smart and scientific software to production trading infrastructure)
• Strong experience with Python (advanced), and familiarity with related technologies: NumPy, Pandas, etc.
• Experience developing advanced statistical learning techniques, with the creation of metrics (metrics to assess and optimise trading performance of portfolios, data analytics from markets 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 within an office context, such as:
  • A retail bank, proprietary trading firm, or investment bank
• Proficient with 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
• Prior experience in the financial industry
• Strong command of financial fundamentals and marketability
• Experienced with financial and market data analytics
• Relevant mathematical knowledge, e.g., statistics, time-series analysis

Working Here

• M&G prides itself on having a diverse workforce spanning geographically across the world, 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 alongside industry experts from across Greater China.
• The M&G Hong Kong team is one of China’s leading and fastest-growing fixed income teams.

Inclusive, Work-Life Balance & Flexible Working

• As an international platform, we offer many opportunities for personal development and career growth.
• We believe in providing a supportive and inclusive working 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 working arrangements, including remote work and flexible hours.
• M&G employees may have additional benefits available through the company or may be permitted to participate in various reward programs.
• For example, a member of our research team will be able to use our on-site gym, and