Financial Services Advisory, Cloud Consulting
2 days ago
The KPMG financial services advisory team assists banks and capital market sectors in managing their day-to-day business challenges and developments. We support our financial services clients on multiple diverse consulting projects that include:
- Business growth (e.g. market entry, customer insights, merger and acquisitions support)
- Operational process improvements
- Organisation-wide functional (re)design
- Change management and project management
- Digital and technology enablement
- Programme management support
- Data driven transformation
This role involves:
- Provide consulting services to clients, including data analytics planning, data visualisation, data governance strategy and data management
- Implement data management approaches, including but not limited to the selection of appropriate technology solutions and running of data
- Taking charge of project delivery from initial client consultation to presentation of results, being responsible for the delivery of client facing projects
- Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains
- Perform exploratory data analysis, generate, and test working hypotheses to uncover interesting trends and relationships
- Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometric and operations research
- Develop data architecture standards & guidelines, and work with business and IT teams to ensure architecture requirements are captured and addressed by designs that uphold the firm-wide principles and standards
- Responsible for sales and conversion of large transformation projects from end to end bid management to enterprise solution design and delivery
- **Bachelor's Degree in Computer Science, Information System, IT or equivalent**:
- **Proficiency in Python, Java, SQL, AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow)**:
- **Experience in large data warehouses, Big Data technologies, infrastructure components, ETL/ ELT and reporting/analytic tools**:
- **Experience in designing solutions utilizing one or more emerging technologies (e.g., cloud, AI and machine learning) to deliver business value which are secure, scalable, reliable and effective for adoption**:
- **Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills
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