MICHAEL PAGE

Data Engineer - HK Financial Regulator (Financial Risk Data)

Job Details

Company Overview

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