Job Description

About us

As a proud member of the Ascentium Group, we stand at the forefront of innovation in Human Capital Solutions. With a forward-thinking mindset, we deliver a tailored suite of services that empower our clients to thrive in today’s fast-changing business landscape.

Our client is a multinational bank with all-rounded financial operations at its prime within the APAC region. They are looking for passionate Data Analytics Professionals to join their team and provide support on driving process improvement and leading data initiatives.

Key Responsibilities:

• Support the finance COO department with various data projects, ensuring accurate and timely delivery of insights
• Lead process automation and streamlining initiatives to enhance the teams' productivity and efficiency
• Drive data-driven journey and enhance the analytics capability for the Finance function, including data pipeline design, dashboard development, machine learning model development)
• Apply Python for developing and deploying Gen-AI solutions, ensuring efficient data processing and analysis
• Collaborate with team members in a fast-paced environment to deliver high-quality results
• Demonstrate a positive attitude towards learning and adapting to new technologies and methodologies

Key Requirements:

• Degree holder in Information System, Statistics, Data Science or related disciplines
• At least 5 years of experience in a data analysis role
• Proficiency in both SQL and Python; experience in data transformation is essential
• Proficiency in Tableau and Qlik sense is advantageous
• Strong analytical and innovative mindset with the ability to interpret complex datasets
• Experience in dashboard creation and Gen-AI tools is advantageous
• Proficiency in both English and Chinese (Cantonese & Mandarin)
• Open to candidates without a finance/banking background
• Willingness to learn about the finance industry is essential
• Excellent communication skills and ability to work collaboratively in a team

Interested parties please send your application with full career history, current and expected salary by clicking Apply Now button. Applications will be treated in strict confidence. Personal data collected will be used for recruitment purposes only.