Risk Advisory - Risk, Regulatory & Assurance Analytics - Manager at Deloitte

Job Description

• We are looking for a Manager to make an impact in our team and at the clients. This role will support the Senior Manager, Associate Director or Director in delivery of services to clients on engagements and projects.

Key responsibilities:

• Strategic Impact: Support with the delivery of designated engagements, managing the implementation of the agreed deliverables or provide subject matter expertise role. Track outputs against engagement scope of work and report to Senior Manager on any unforeseen issues arising. Support in planning and execution of sales presentations and client negotiation teams for new and retained business and assist in the preparation of proposals/tenders and presentations on request. Develop market network in business and build relationships that generate leads. Demonstrated the ability to win and retain business, through excellent delivery and client relationships, with the ability to shape opportunities. Or technical SME focused on delivery.
• Client Impact: Generate productive, credible and trusting relationships with Senior client management. Appropriately resolve professional, technical or client service issues. Manage the day-to-day deliverables of the team and on client engagements. Participate in thought leadership process and share functional and industry knowledge and expertise with clients and teams.
• Operational Effectiveness: Apply business acumen and insight as an effective advisor to clients. Business-oriented approach to client problem-solving and service. Manage engagement or project risk to ensure that the firm’s risk policies as well as risk to client confidentiality is always aligned. Meet regularly with client and teams to understand issues, anticipate needs, and address these. Communicate changes in engagement/ project to Senior Manager for client engagement. Provide ongoing status of project to engagement team.
• Development/ Growth of Team: Share expertise and knowledge with team members and ensure quality and effective delivery of work. Monitor resource requirements for engagement and communicate to Senior Manager need for increase/decrease in team headcount. Maintain self-development and knowledge in specialised areas, including accreditations and certifications.  
• Budgets & profitability: Manage engagement budget through accurate budgeting, cost control and profitability management. Monitor that time and expenses on engagement are accurately recorded and submitted weekly. Cost and manage engagements profitably.

Core Professional and Technical capabilities of the successful candidate:

• Risk Assessment and Mitigation
• Business Process Assessment
• Internal Controls Analytics
• Data Analytics and Technology
• Knows the Business and the Industry
• Sales and Business Development
• Global Mindset

Specialized Technical capabilities of the successful candidate:

• Ability to guide teams through the design and implementation of technology and data risk engagements or solutions to support the achievement of business goals.
• Combines industry knowledge and analytics domain experience to help client identify, assess, and manage technology and data risk or opportunities. 
• Oversees teams that are defining requirements and developing data & analytics solutions to align with sector requirements, strategic business goals, and existing operations.
• Leverages an in-depth knowledge of market-specific products / technologies and solutions to enhance impact of recommended solutions.
• Proactively tailors’ data & analytics strategies to help ensure client’s environments are receptive to the impending change.
• Works with client to build support, remove organizational barriers and acquire the necessary resources to enable effective and sustainable implementations.
• Specialises in and builds an internal expert brand within minimum three data and analytics domains, while maintaining a minimum level of expertise across many areas.

Technical Competencies:             

• Field expert with sound industry and business knowledge
• Demonstrated leadership skills
• Sales skills and proven ability to manage and execute projects
• Experience in drafting and presenting client proposals
• Good report writing skills
• Sound financial knowledge and understanding
• Business acumen

Knowledge and experience across multiple areas including:

• Programming Coding in variety of languages (SAS, SQL, R, Python etc.)
• Business Analysis (including business process mapping)
• Data Modelling
• Machine Learning (ML)
• Data Management
• Data Engineering (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Analytics
• SAP Analytics
• Robotics Process Automation (RPA)
• Relevant Technical fundamentals at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Good communication skills, both written and verbal
• Demonstrates ability to work efficiently and meet all deadlines consistently
• Proven ability to effectively manage engagement on time and within budget
• Demonstrates ability to make the right decisions and judgement calls
• Ability to provide leadership and guidance/coaching to junior member of the team
• Demonstrated ability to inspire and enthuse others to commitment and involvement taking accountability for larger engagements
• Manages large engagement / multiple engagement deadlines holistically, identifying risks and escalating and take ownership of deliverables driving team quality and risk management.

Qualifications

Minimum Qualifications  

• BSC Computer Science, BSC Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).

Desired Qualifications    

• Master’s degree or certifications and proven analytics training

Minimum Experience Criteria       

• 7 years of working experience

Desired Experience Criteria

• 8 years’ relevant work experience and postgrad qualification