Data Analysis jobs in Malaysia

Service Line / Portfolios: Risk, Regulatory & Forensic

Location: Singapore, Singapore, SG

We are looking for a dynamic and experienced manager with a strong background in data modelling, data integration, systems implementation and data analytics. The ideal candidate will have strong technical skills in financial crime systems implementations, database management and integration, and ETL processes, with experience in the financial services industry.

• 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 goals of our clients and Deloitte and align our people to these objectives, setting clear priorities and direction.
• Influence clients, teams, and individuals positively. Leading by example and establishing confident relationships with senior stakeholders.
• Deliver exceptional client service. Maximises results and drives high performance from people while fostering collaboration across businesses and geographies.
• Develop high‑performing teams through challenging and meaningful opportunities and recognise them for the impact that they make.

• 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 thrive in a fast‑paced, complex, and evolving regulatory environment.
• Effective communication and stakeholder management skills.
• 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.
• Enthusiasm for learning new things and a willingness to teach others.
• 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.
• Fluent in both written and oral English.

Due to the volume of applications, we regret only shortlisted candidates will be notified.

Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

Requisition ID: 110336

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