Machine Learning Engineer

FCC ANALYTICS; Hongkong; On-site; HKD 334,800 - 502,200; Full time

Job summary

A financial technology firm in Hong Kong is seeking a Machine Learning Engineer to conduct data analysis and develop innovative algorithms in the financial sector. The ideal candidate will have a degree in a relevant field and proficiency in machine learning frameworks. This entry-level role offers an exciting opportunity to work on projects related to anti-money laundering and graph learning.

Qualifications

• Hands-on experience with at least one machine learning framework.
• Interest in anomaly detection and regulatory compliance.
• Passion for coding and problem-solving.

Responsibilities

• Conduct data analysis and feature extraction within the financial industry.
• Develop machine learning algorithms for applications like transaction monitoring.
• Collaborate with teams to address customer needs.

Skills

Machine learning framework proficiency (e.g., PyTorch, Keras, TensorFlow)

Programming (Python)

Data analysis and feature engineering

Statistical machine learning knowledge

Fluency in Cantonese or Mandarin

Education

Bachelor’s or Master’s degree in relevant field

Tools

VSCode

Git

MySQL

Conda

Job description

Overview

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Responsibilities

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes

Qualifications / Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

Seniorities

• Entry level

Employment type

• Full-time

Job function

• Science

Industries

• Technology
• Information and Media