Job Description
Business Analytics and Insights Specialist
Application Deadline: 10 August 2026
Department: Product
Employment Type: Permanent - Full Time
Location: Hong Kong (SAR)
About Mox
Mox is built by and for the ones who aspire to live life to the fullest – we call them Generation Mox! The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it’s all up for us to define together.
Why Mox
Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox.
Mox rewards you with an array of banking and lifestyle benefits. Who says banking can’t be fun?
Who are we looking for?
We are looking for an experienced Business Analytics and Insights Specialist. You will report directly to the Head of Business Data, Analytics and CRM.
Responsibilities
· As a business analytics and insights specialist you will be working with us as an enabler of quality data-driven decision making.
· Your work will involve uncovering insights from data, surfacing these insights with best-in-class visualizations to drive decision making, and then going on to implement advanced models that help maximize business value.
· You will be part of a project to build the capability to architect and deploy end-to-end automated insight generation systems using AI and Generative AI. You will build autonomous analytics capabilities that eliminate manual reporting, surface predictive intelligence proactively, and enable natural language interaction with MOX's data assets.
· You will be a champion for experimentation and testing to ensure that decisions made on product are backed up with statistical rigor.
· You will also work with different functional teams across the bank and be a driving force in continuously levelling up our already data-driven culture.
Requirements
We expect candidates to have had demonstrable experience collaborating with business users to understand business problems and then go on to produce impactful solutions that produced measurable commercial impact using data science methodologies.
Candidates should have in-depth experience in a subset of the following skills and technologies and be interested in filling any gaps in knowledge as needed on the job. More importantly, we seek people who can focus on business value, without compromising on best practices and quality output. We also value good communication and fluency in English for collaboration with teammates and stakeholders alike.
· Proficiency using SQL and Python for data analysis and modelling with large data sets
· Proficiency using business intelligence platforms (eg. Tableau, PowerBI) to visualize, explore and share data
· Experience with General AWS services (or other cloud platform equivalents): Glue, Athena, S3
· Understanding of how to operationalize LLMs, AI agents, and ML pipelines to fundamentally transform how a digital bank makes decisions.
· Exposure to data science environments (eg. AWS Sagemaker, Jupyter, MLFlow)
· Agile/Lean project methodologies and rituals: Scrum, Kanban
· Version control: git commands, branching strategies, collaboration etiquette, documentation best practices
· Workflow scheduling and monitoring tools: Apache Airflow, Luigi, AWS Batch
