Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients
Enhance existing analytic techniques by promoting new methodology and best practices in analytics field
High interaction with external clients, and manage internal and external stakeholders
Create and monitor dashboards (Power BI and Tableau) and reports for relevant projects.
Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
Building data science visualization capabilities to solve client's problems
Drive innovation through using data science techniques
Act as data science advocate within our client, advising and coaching analytical teams and sharing best practices and case studies.
Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets
Qualifications:
Degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent
Experience in performing data exploration and feature experience engineering
Experience in Credit Risk Analytics and Digital Marketing Analytic would be an added benefit
Deep analytical expertise in applying statistical solutions to business problems
Proficiency with modelling software, experience with Python, R, SAS, Matlab,or similar instruments
Practical experience in building and applying machine learning models (regression, clustering, classification: gradient boosting, random forests, linear models, deep learning etc.), understanding in how these algorithms work and end-to-end development skills from business understanding and data preparation to quality assurance of ML models
Demonstrated ability to innovate solutions and solve business problems capabilities
Excellent presentation skills, including strong oral and written
Self-motivated, results-oriented individual with the ability to progress multiple priorities concurrently
Skills
Digital Marketing
Credit Risk
Modelling Tools
Communication skills
Presentation Skills
Functions
Information Technology (IT)
Job Overview
Job Type:
Full-Time
Company
KPMG
38 active jobs
Industry:
Business & Professional Services
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