Forensic, Data Analyst (G2)

Job description

In this role, you will be responsible for building data analytics models (including machine learning) to support both KPMG forensic team and KPMG clients across different industries.

Successful candidates should have a passion for technology to create better forensic data analytics solutions and the ability to operate with confidence in the business intelligence and analytics arena.

The role involves data analytics and operations support. 

 

Responsibilities include:

• Build both supervised and unsupervised machine learning models;
• Perform data exploration, data processing and data analysis;
• Develop analytical solutions;
• Deploy analytical solutions in client premises;
• Actively provide feedback for future enhancements;
• Develop in-depth knowledge and understanding of digital solutions and products capabilities;
• Maintain up-to-date knowledge of trends and market information related to data science space in order to support our solutions focused business development strategy and client engagements (e.g. develop industry specific go-to-market materials – proposals, use cases, demos, etc.);
• Support the development and delivery of presentations and product demonstrations;
• Participate in the documentation of processes and knowledge, including how to guides, technical notes, training materials, etc.

The ideal candidate should:

• Possess a bachelor degree or professional qualification in computer science, software engineering or related degrees;
• Demonstrate a strong understanding of data analytics, machine learning and software engineering;
• Able to work with large amounts of data;
• Be vigilant, customer & service-oriented and a self-motivator;
• Demonstrate a keen interest and aptitude for learning new skills sets and taking on new roles/challenges;
• Possess critical thinking, strong listening skill and strong problem-solving abilities to provide conclusions based on the data findings;
• Possess strong entrepreneurial spirit and a desire to contribute to a constantly evolving business environment;
• Demonstrate excellent verbal and written communications skills in English to present complex ideas/findings;
• Able to multitask, prioritise and deliver in a high-pressure and fast-paced environment;
• Have a proactive and collaborative work style;
• Proficient in SQL and Python;
• Possess business/accounting knowledge is an advantage.