Explore new opportunities and build innovative analytic capabilities;
Collaborate with product management and different stakeholders to understand company needs and devise possible solutions / features;
Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings;
Come up with excellent illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modeling results as measures of the business’s impact;
Stay on top of the industry’s trends, in order to provide forward-thinking recommendations to the business;
take initiative to experiment with various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible;
Curiosity to learn and maintain knowledge and latest technologies in the fields of Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Big Data, Cyber Security and Intelligence platforms;
Implement full data science process in various applications includes data collection, data cleansing, model training, evaluation, visualization, back-testing and model application; and
Perform any other duties as assigned by superior from time to time.
Qualifications and Experience Required:
Master’s Degree or above holder in Statistics, Computer Science, Machine Learning or equivalent;
At least 5 years’ experience in Data Science / Analytics;
Strong understanding of machine learning techniques and algorithm;
Extensive knowledge and industry experience (5+ years) with Machine Learning development using: Python and R and libraries like Scikit-learn, like NumPy, SciPy, Pandas, Matplotlib and SparkML;
Good knowledge and industry experience (2+ years) with Deep Learning development using TensorFlow, Keras, and Theano is desirable;
Good knowledge and industry experience (2+ years) with working on Big Data technologies such as Hadoop, HDFS, Kafka, Spark and Spark Streaming and AWS is desirable;
Good knowledge of visualization tools such as Tableau, Qlikview Matplotlib (Python), etc is desirable;
Good knowledge of database technologies such as SQL and MongoDB is desirable;
Great communication skills, especially in explaining complex data problems and solutions;
Track record of implementing models that deliver significant sustained business impact; and
Data analytics and management experience, gained from the financial services sector is desirable;
Good interpersonal skill and detailed minded; and
Good command of spoken and written English and Chinese; Mandarin is an advantage.
We offer competitive remuneration package and career prospects to the right candidate. Salary will be commensurate with qualifications and experience. Our attractive remuneration package includes 5-day work week, year-end bonus, performance bonus, dental and medical benefits, employer voluntary contributions to MPF, education allowance, staff well-being sponsorship, birthday leave, marriage leave, family care leave, etc.
Interested candidates please send your full resume stating contact details, current and expected salary by clicking Apply Now.
Personal data collected will be used for recruitment purpose only. We are an equal opportunity employer.
We are a consortium of over 30 banks in Hong Kong and Macau, and operating an inter-bank Automated Teller Machine (“ATM") network, Internet Payment Gateway Service and Mobile Payment Service for our member banks. We have been a certificate holder of ISO 27001 and compliant with Payment Card Industry Data Security Standard ("PCI DSS") for more than 8 years. Please visit www.jetco.com.hk for more information.