SR&T : Manager - Forensic & Financial Crime - Data Analytics & Modelling - SG

2 weeks ago


Singapur, Singapore Deloitte PLT Full time

Select how often (in days) to receive an alert: SR&T : Manager - Forensic & Financial Crime - Data Analytics & Modelling - SG Date: 21 Oct 2025 Service Line / Portfolios: Risk, Regulatory & Forensic Location: Singapore, Singapore, SG SR&T Manager, Forensic and Financial Crime – Systems Implementation & Data Modelling Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose‑led growth and embed more equitable, inclusive and sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions. Ready to unleash your potential with us? Join the team now Work you will do 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. Your key responsibilities 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 ongoing 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. Your role as a leader At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, managers across our Firm are expected to: 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. Lead by example and establish confident relationships with senior stakeholders. Deliver exceptional client service by maximizing results and driving high performance from people while fostering collaboration across businesses and geographies. Develop high‑performing teams through challenging and meaningful opportunities and recognize them for the impact they make. Requirements 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 visual 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 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 a 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. #J-18808-Ljbffr


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