Fresh Jobs at Deloitte

Job Description

• Support the audit practice‘s System of Quality management and the implementation and application of the auditing standards, methodology and applicable regulations through
• Monitoring
• Regulator’s inspections
• Internal inspections
• Develop high-performing people and teams, leading and supporting them to make an impact that matters, and setting the direction to deliver exceptional client service.

Qualifications

• Honours Accounting Degree
• Registered CA(SA)

Experience

• 3-4 years working experience (including articles)
• 3 years in client facing role, 1 – 2 years in assistant manager / managerial role

Technical Skills

• Expert in field with sound industry and business knowledge
• Understanding of internal controls and ISQM
• PCAOB 
• Demonstrated leadership skills
• Proven ability to manage and execute projects
• Experience in drafting and presenting client proposals
• Excellent report writing skills
• Good financial knowledge
• Sound business acumen

Behavioral 

• Excellent communication skills, both written and verbal
• Effective interpersonal and relationship building skills
• Good mentorship and coaching ability with desire to develop self and others
• Strong client delivery focus
• Adaptable, managing change and ambiguity with ease
• Focus on quality and risk
• Sound problem solving ability
• Pragmatic

Additional Information

• Understanding of ISQM 1
• Performing an independent risk focused review of the system of quality management
• Driving continuous quality improvement (causal factor analyses and issue resolution)
• Ability to perform causal factor analysis to identify the root cause of a problem;
• Ability to challenge remediation plans;
• Ability to evaluate individuals and processes in an unbiased manner;
• Support practitioners through external inspections;
• Perform a variety of monitoring functions across the audit practice including independence, AWM monitoring;
• Independent risk based audit of the firm’s system of quality management;
• Understanding of control testing principles;
• Liaising with senior leadership of the firm on systems of quality management;
• Retention of engagement documentation;
• Reporting (compliance & execution).

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Job Description

• We are looking for a Data Analytics Consultant to make an impact in our team and at the clients. This role will support the Engagement team in delivery of services to clients on engagements and projects.

The job role entails the following:

• Analysis and conversion of business requirements into technical specifications
• Data exploration and analysis
• ETL and data preparation capabilities
• Solve intricate data integration problems
• Development, testing and implementation of analytics solutions
• Reporting and data visualisation capabilities
• Oversight and support to junior team members
• Manage a team of junior individuals
• Project planning and administrative responsibilities
• Accountability for deliverables and feedback to manager and stakeholders
• Solve complex data modelling and visualisation complications
• Interact with clients and business stakeholders
• Translate technical concepts into business understanding and value
• Proficiency in at least two or more of the following tools: SQL Server, SAS, Python and PowerBI
• Functional experience in cloud analytics is advantageous.

Technical Competencies

• Technical expert in specific area and/or industry
• Consulting skills
• Good report writing skills
• Experience in drafting and presenting to clients
• Sound financial knowledge and understanding
• Business acumen
• Business process, risk and control knowledge

Knowledge and experience across multiple areas including:

• Programming Coding in variety of languages (SQL, Python etc.)
• Business Analysis (including business process mapping)
• Data Preparation (extractions, transformations, loading patterns)
• Descriptive analytics (ability to extract insights and trends from data based on requirements)
• Cloud Data Engineering & Analytics (Azure, AWS) would be advantageous
• Relevant technical experience at that point in time to what the market is procuring

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Excellent communication skills, both written and verbal
• Consistently delivers high quality work
• Ability to meet deadlines (reliable and dependable)
• Able to multi-task
• Proven application of providing guidance to junior members of the project team
• Demonstrates readiness to take decisions
• Displays initiative and takes accountability for delivery of own work
• Monitors adherence to deadlines for self
• Ability to prioritize competing responsibilities as per their urgency and importance

Qualifications
Minimum Qualifications       

• BSc Computer Science, BSc Honours Computer Science, BSC Maths Statistics, BEng (all disciplines), BCom (Informatics preferred).  Or if direct entry proven experience in data & analytics and other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques)

Desired Qualifications          

• Certifications or Advanced degrees in Computer Science, Data Analytics, and technology specific certifications

Minimum Experience

• 2+ years relevant working experience

Desired Experience  

• 3+ years’ relevant work experience

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Job Description

• An exciting opportunity has become available. The RFR Vacation (VAC) programme is designed to provide students with work experience and offer them the opportunity to acquire key skills from our team, allowing them to showcase their skills and work on exciting projects.

The RFR Vacation programme will provide the students with the following opportunities:

• Hands-on project experience
• Professional skill development
• Career exploration
• Networking
• Insight into Industry Practices

Qualifications
Students who are eligible to apply are those aiming to complete their Honours or Masters Degree in 2026, specialising in any of the following relevant fields:

• Actuarial Science
• Data Science
• Mathematical Sciences/Statistics
• (Applied/Financial) Mathematics
• Quantitative Risk Management
• (Applied) Statistics