
DRSC SR&T Manager, Forensic and Financial Crime - Data Analytics
- Kuala Lumpur
- Permanent
- Full-time
- Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
- Proactively identify, assess, and mitigate technical risks and issues that could impact project timelines, scope, or quality. Develop and implement strategies to address technical challenges effectively.
- Collaborate with cross-functional teams and stakeholders to ensure technical solutions align with organisational standards and project objectives.
- Work closely with third-party vendors and system integrators to manage integration of new systems with existing infrastructure. Oversee technical aspects of vendor deliverables.
- Plan and oversee technical testing strategies, including unit, integration, and user acceptance testing (UAT).
- Ensure comprehensive technical documentation is created and maintained throughout the project lifecycle. Facilitate knowledge transfer to operations and support teams to ensure a smooth transition post-implementation.
- Manage other data analytics engagements, including:
- Leading teams to provide high-quality, professional day-to-day execution of 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 litigation.
- Leading AML projects which include 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.
- Maintaining 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.
- Contributing to personal and overall team development, through staying up to date with forensic accounting related news, technical and regulatory developments.
- Supporting Partner/Director in developing marketing collateral, business proposals and new solution / methodology development.
- Developing and maintaining relationship with strategic (internal and external) service providers.
- Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
- Understand how our daily work contributes to the priorities of the team and the business.
- Demonstrate strong commitment to personal learning and development.
- Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
- Work effectively in diverse teams within a highly inclusive team culture where everyone is supported, respected and recognized for their contribution.
- Undergraduate degree in Computer Science, Information Technology, Engineering, data analytics or a related field. Relevant certifications (e.g., PMP, CSM, ITIL, Oracle Certified Professional) are a plus.
- At least 6 to 8 years of experience in data modelling, data integration, and systems implementation, ideally with 1 to 2 years in a lead technical role for financial crime systems implementation projects within the banking or financial services industry.
- 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 (e.g. Oracle, MSSQL, PostgreSQL).
- Database design and development (i.e. Microsoft SQL Server or IBM DB2).
- Data loading and ETL solutions (i.e. Microsoft SSIS or IBM DataStage).
- 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).
- Experience of text analytics through use of taxonomies, concept searching, machine learning and/or clustering.
- Proficient with MS Office, especially MS Word, Excel and PowerPoint
- Interest, awareness and understanding of the financial crime landscape, including Anti-Money Laundering and Counter-Terrorist Financing (AML/CFT), fraud detection, sanctions screening, and regulatory compliance within the banking sector.
- Familiarity with financial services data models and common banking processes.
- Familiarity with project management methodologies and their application in technical delivery.
- Experience with project management tools (e.g., JIRA, Azure DevOps, Microsoft Project).
- Strong analytical and problem-solving abilities, with a meticulous attention to detail.
- 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.