Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.
Role and Responsibilities
As an Analyst, you will be involved in a wide range of projects, including:
• Work with team leads to provide high-quality, professional day-to-day execution engagements
and projects in line with the firm's risk management practices for clients across a wide range
of industries.
• Analyzing large and disparate data to support or refute the facts and allegations of disputes,
investigations, and litigations.
• Work as a team member and contribute to AML projects which includes data preparation,
model design, model development, implementation, documentation, and on-going validation &
optimization of rules/ scenarios.
• Helping clients to assess and leverage new data sources, techniques, and technologies to
improve business processes and compliance.
• Contributing to impactful recommendations on clients’ operating models, including people,
process, technology, and data considerations
• Maintain professional and positive client interactions whilst providing support, including
dealing with ad-hoc queries.
• Supporting projects from other Deloitte Forensic service lines, as and where required
• Contribute to personal and overall team development, through staying up to date with forensic
accounting-related news, and technical and regulatory developments.
• Support Manager/Director in developing marketing collateral, business proposals, and new
solution / methodology development.
• Develop and maintain relationship with strategic (internal and external) service providers.
Requirements
• A university degree in accounting, computer science, information management or related skills
• Demonstrable experience and fluency in three or more of the following technical areas are essential:-
• Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive, SAS).
• Experience with industry standard RDMS (eg. Oracle, MSSQL, PostgreSQL).
• Database design and development (ie. Microsoft SQL Server or IBM DB2).
• Data loading and ETL solutions (ie. Microsoft SSIS or IBM DataStage ).
• Reporting and data visualisation tools (eg. Microsoft SSRS, Tableau, Power BI, Qlikview, D3).
• Scripting or programming experience (eg. C#, VB.net, Java, Python).
• Experience of text analytics through use of taxonomies, concept searching, machine learning and/or clustering.
• Strong conceptual, analytical, and critical thinking with the ability to dive deep into analytics while also contributing to larger strategic discussions.
• A “can do” attitude with the sense of urgency and the confidence to build problem-solving partnerships with clients and colleagues and set and manage aggressive goals for self and others.
• An ability to present complex quantitative analyses and recommendations to both technical and non-technical audiences, including senior client executives, in a clear, concise and actionable manner.
• Strong writing skills to contribute to proposals and the production of deliverables.
• Accounting knowledge would be beneficial
• Enthusiasm for learning new things and a willingness to teach others.
