About the role
AI summarisedThis is an entry-level analyst role at Deloitte's Forensic & Financial Crime practice, focusing on data analytics for anti-money laundering (AML) projects. The role involves analyzing large datasets, developing models, and supporting investigations and compliance engagements for clients across industries.
BusinessFull-timeRisk, Regulatory & Forensic
Key Responsibilities
- 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
- Analysing 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 & optimisation 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, 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
- Bachelor's degree in accounting, computer science, data analytics, statistics or related skills
- 1-2 years of relevant working experience within AML related projects
- Demonstrable experience and fluency in the following technical areas are essential: Reporting and data visualisation tools (e.g. Microsoft SSRS, Tableau, Power BI, QlikView, D3)
- Scripting or programming experience (e.g. C#, VB.net, Java, Python)
- Strong English communication skills both written and verbal
- Proficient in MS Office (Word, Excel, PowerPoint) with strong analytical, problem-solving, writing, and presentation skills
- Able to communicate insights to both technical and non-technical stakeholders and work cross-functionally under pressure