Job Description

Title: Manager, Forensic and Financial Crime - Systems Implementation & Data Modelling

What impact will you make?

At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and community. Whatever your aspirations, Deloitte offers you a highly inclusive, collaborative workplace and unrivalled opportunities to realize your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals.

So what are you waiting for? Join the winning team now.

Work you’ll 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 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.

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 everyday 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, Associates / Analysts / Consultants across our Firm are expected to:

• 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.

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 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.

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

Job Requirements