The role involves analyzing business needs and translating them into functional solutions to deploy machine learning models and optimize their performance.

Candidates should have experience in data science, strong problem-solving skills, and the ability to work effectively in cross-functional teams.

Client Details

Our client, a Hong Kong financial regulator, is looking for an Associate or AVP level Business Analyst (both technical and business), as they are looking to build out an international custodian/depository service. As such, this business analyst must have knowledge of Asian and Hong Kong cash equity settlement and custody functions, and have experience in runing technology projects.

Description

• Analyze and understand business needs while gathering user requirements.
• Engage in discussions regarding functional, technical, and design aspects with stakeholders to ensure best practices during implementation.
• Conduct feasibility studies and propose suitable solutions.
• Convert requirements into functional specifications.
• Collaborate with IT teams to transition solutions from the development environment to production.
• Evaluate, train, and enhance machine learning models and algorithms.
• Continuously optimize the performance of machine learning models.

Profile

• Bachelor's degree in science, engineering, or a related field.
• Minimum 3 years of relevant work experience, analytics and machine learning model development or risk scorecard development
• Proficiency in Python data science packages, such as TensorFlow, and experience serving ML models as APIs like MLflow and Ray Serve.
• Familiarity with model development and deployment, ETL processes, and data visualisation.
• Strong data-driven thinking and problem-solving abilities.
• Excellent communication and collaboration skills, with the capability to work effectively in a cross-functional team environment.
• Fraud Risk Knowledge is a plus

Job Offer

• Large-scale project in finance data risk
• Technical model deployment, Gen AI solution
• Stable work environment
• Hybrid working culture
• Exciting project opportunity

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Samantha Yiu at +852 2530 6107