• Work with business stakeholders for data sourcing, domain knowledge understanding and business requirements gathering.
• Apply descriptive analytics (e.g., aggregation and visualization) to identify patterns and trends in IBGO datasets in various functions, e.g., payment, loan, and trade.
• Build machine-learning models for risk control, recommendation, and efficiency improvement with strong support of well experienced data scientist.
• Maintain machine-learning models – periodically clean new datasets and inject them to models to refresh prediction output.
• Work with data scientists to implement end-to-end solution (including data cleaning, feature engineering, model training and evaluation), and support the Technology team to deploy the solution for production.
• Eager to explore open source code, and apply them to solve real problems.
• Work with data scientists to create reusable assets, include reusable source code library and feature mart, and maintain them.
• Presentation of analytics results to management.
Required Experience
- Familiarity with classic machine-learning algorithms, e.g., decision tree, logistic regression, random forest, and GBM. Deep learning is a plus.
- 2 years or above of industry data analytics project experience. Fresh graduates with strong academic record on machine-learning (course) projects are equally applicable.
- Good coding skills with Python and/or R. Strong skills of C++ and Java are equally applicable.
- Basic or above data management skills with knowledge of SQL and Hadoop. Familiarity of Spark is a plus.
- Bachelor or above in Computer Science/Engineering, Applied Mathematics, and Physics.
Core Competencies
- Organizational excellence: Self-starter, independent, able to align & drive strategic initiatives to support bank’s vision.
- Clear presentation of analytics results from the perspective of technology. Capability of presenting results to layman is a plus.
- Good people engagement and interpersonal skills.
- Passionate about data science, and eager to learn new skills.
- High ability to adapt positively to a changing environment.
Please submit your CV for this role by emailing careersrise@bcg.com and quoting "(A-IT Software - 2875) Data Analyst - Intermediate with SQL, Machine Learning, Python/Java/C++, Hadoop" in your email title.