Machine Learning Software Engineer

Hong Kong, Hong Kong
Sep 14, 2021
Sep 15, 2021
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Asset Management Global Portfolio Management Technology is seeking a well-rounded hands-on developer with data science and machine learning experience. Big data analytics and numerical deep learning processing will enable us building advanced systems that support full Investment Management investment cycle with the main focus on Portfolio Contribution and Attribution across Asset Management. The candidate will be part of the front-office machine learning technology team and have communication skills to work with the stakeholders and develop advanced numerical solutions to business problems. Successful candidate will be able to analyze large data sets and select appropriate methodology to organize, interpret and apply appropriate clustering and predictive algorithms to provide users with insights into the data.

 As an experienced member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

This role requires a wide variety of strengths and capabilities, including:
  • BS/BA degree or equivalent experience
  • Expertise in numerical big data algorithm and analysis.
  • Expertise in machine learning algorithms and methodologies.
  • Expertise in natural language processing methodologies.
  • Expertise in understanding and using of ML and supportive libraries: TensorFlow, NumPy, pandas, matplotlib, sci-kit, etc.
  • Knowledge of cloud based ML solutions: sagemaker
  • Proficiency in multiple modern programming languages: Python, java.
  • Knowledge of industry-wide technology trends and best practices
  • Keen understanding of financial control and budget management
  • Ability to work in large, collaborative teams to achieve organizational goals
  • Passionate about building an innovative culture
  • Agile development experience or equivalent in fast-paced development environment
  • Experience in performance and attribution a plus
  • Understanding and experience with Cloud based platforms.
  • Expertise in application, data and infrastructure architecture disciplines
  • Will be part of the high-caliber development team that works closely with the Front Office users on end-to-end solutions
  • Must be curious, hardworking and detail-oriented, motivated by complex analytical problems
  • Has to demonstrate interest in financial applications
  • Leading edge of architecture, design and business processes
  • Solid financial software engineering background is a plus
  • Prior portfolio performance and attribution experience will be a plus
  • Working experience on cloud-based development, cloud-native as definite plus
  • Experience on Devops; working experience on CI/CD tooling as plus
  • Experience in front-office capital markets/investment management applications is desirable
  • Experience in leading and/or managing Scrum team
  • CFA, FRM, and/or Financial Engineering degree and/or risk management knowledge is a major plus
  • Successful candidate:
  • Experience in Financial markets, and have ability to communicate directly with the business users
  • Should be able to work individually or as part of a global team to achieve project goals
  • Will interact closely with the product strategy and marketing teams to deliver a brand new customer-centric platform.

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