WeLab aims to bring joy to everyone’s financial journey. We strive to improve people’s lives by reinventing financial services through game-changing technology. We put our people first, whether it’s our customers or our employees. WeLab also operates the leading online lending platform, WeLend, in Hong Kong.

As the only homegrown Hong Kong fintech to receive a virtual banking license, we aim to reinvent and redefine the banking experience by building a bank we love.

We are an energetic and passionate team that can deliver and execute. We are looking for other intellectually curious, open-minded and smart-working individuals who are just as passionate as we are about making financial services enjoyable. Now you have the opportunity to join us on our journey to achieve our vision and be part of building a better financial future for everyone.

About you:

• You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment
• You have a strong thirst for knowledge and are driven to find solutions that don't exist yet
• You are comfortable with ambiguity and extremely resourceful (in your past life you could've been a detective)
• You always find a way to get things done without sacrificing the quality of your work, integrity and values. No task is off limits for you.
• You are humble and prioritize the success of the team over your own with an eagerness to help those around you
• You don't shy away from challenges and have the ability to bounce back from setbacks

About this role:

As a BI Data Architect, you are responsible for translating business inputs and utilizing best practice design techniques to deliver data visualizations and reporting, which serves the specific purpose of maximizing the potential of data assets. You will support BI Lead to create or manage metadata that helps business units to use data more efficiently and accurately.

What you’ll do and what success looks like in this role

• Build dashboards and develop insights for business units including leadership dashboards, regular reports and ad-hoc analysis
• Drive the development and application of statistical and propensity models in customer segmentation and retention strategies for maximizing the sales and revenue growth, product profitability analysis, etc
• Prepare, analyse and deliver management information
• Provide first line support for local data issues and maintain best practices for Data Management
• Work with the Tech team in creating technology platforms across Data Management and Governance Platform, integration platform between applications running on-premise and on cloud and Data Lake / Data Visualization / Data Analytics Solutions

What is required and what we’re looking for

• Degree holder in Finance, Statistics, Technology or other related disciplines
• Minimum 3 years of experience in retail data analysis
• Proven experience in data modelling, data mining preferably in financial institutions with regional/global project exposure
• Excellent in Tableau and SQL
• Proficiency in SAS-EG, Python, R is a plus
• Experienced in implementing data solutions on the Big Data platform including Data Lake, HDInsight, Hadoop, Spark, etc.
• Demonstrated ability to collaborate with business stakeholders to design enterprise-wide data attributes that help gather seamless business requirements for reports, datasets, dashboards and other artifacts. Knowledge of banking industry preferred
• Ability to work independently and strategically, open to tackling new issues and sounding out new ideas
• A proactive and can-do attitude
• Excellent communication skills in English, Cantonese, and Mandarin

Awards & recognition:

• KPMG’s 2018 Fintech Top 100 – #7 in China and #23 globally, only Hong Kong fintech recognized on the list for 3 straight years
• The Asian Banker’s “Best Business Model” and “Best Data Analytics Initiative” in 2018

We offer competitive salary package to the successful candidate. If you are interested in joining this exciting team, please submit your resume to us via the button “Apply Now” below.

All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 12 months of receipt.