Analyst / Manager, Risk Data and Intelligence
Application Deadline: 18 October 2025
Department: Risk
Employment Type: Permanent - Full Time
Location: Hong Kong (SAR)
Description
About MoxMox 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 MoxEverything 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 a Analyst / Manager, Risk Data and Intelligence with a blend of data analytics and engineering skills as well as risk management expertise to support data and analytics initiatives under risk management.
Responsibilities
- Build a centralized Risk DataMart as a single source of truth for all the downstream risk data usage, including model development, model usage, MI and reporting, analytics exploration, decisioning systems, etc
- Create, define, cleanse, manage, interrogate and manipulate large data sets including but not limited to customer information, digital footprints, credit data, fraud data and transaction data
- Design efficient and scalable data models and develop data pipelines from ingestion of upstream raw data snapshots and event data to downstream OLAP cubes
- Optimize the data pipelines in terms of performance and cost
- Create and maintain documentation for data pipelines including data schema, data sources and data dictionary
- Design and implement data quality checks to ensure data quality and consistency
- Work collaboratively with different functions to identify, design and capture all necessary data and metrics
- Design and build dashboards for risk reporting and analytics
- Assist deployment of model development and inference pipelines
Requirements
- Bachelor’s degree or higher in Data Science, Computer Science, Mathematics, Statistics, or other quantitative fields. Advanced degree is preferred
- Minimum 3 years of relevant work experience in data analytics or engineering. Credit/Fraud/FCC risk management and banking experience is an advantage. Candidates with less experience will be considered as Analyst position
- Proficient in programming languages, including SQL and Python
- Familiar with AWS (S3, Athena, Glue, EMR, SageMaker), Spark, Iceberg, Airflow, Tableau and GitHub
- Hands on experience of data modelling, large datasets processing, ETL pipelines and Tableau
- Result oriented, dedicated who can work on own initiative and can deliver on time under pressure with a high level of integrity and flexibility, attention in details and quality standard
- Proficiency in spoken and written English
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