https://hsbc.taleo.net/careersection/external/jobdetail.ftl?lang=en_gb&job=0000DPNE&src=JB-258226
You’re welcome to get in touch with me privately if you’re interested.
Principal responsibilities
- Identify new use cases for data science for business growth or risk mitigation
- Help shape the future of the analytics within the Customer Intelligence function as we move to GCP
- Conduct customer centric analysis to identify opportunities and risks support various projects to fulfill Global CMB SBO strategy
- Advocate and promote the use of data science to drive fact based activity and behaviour in CMB Globally
- Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback
- Work with and leverage solutions and approaches developed by the wider HSBC Global Analytics community
Requirements
- Several years of relevant experience, preferably in banking and financial sector
- Proficiency in using Python, R, or similar analytically oriented programming languages
- In depth knowledge and experience with machine learning techniques and algorithms, such as Generalized Linear Model, Clustering, SVM, Random Forests, kNN, Naïve Bayes, Artificial Neural Network, etc
- Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc.
- Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation
- High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery
- Open minded and self motivated with good communication and interpersonal skills as well as strong sense of responsibility
- Knowledge of SAS and or SQL is a plus
- Solid technical skills in MS Excel and PowerPoint. Knowledge in other business intelligence or analytics tools will be advantageous
- Fluent written and spoken English