Jobs at Network Recruitment

• No time to waste — Calling on an immediately available Creditors Controllers — Step in and take charge!
• Join a leading manufacturing business in Johannesburg East where precision, efficiency, and teamwork are at the heart of everything. In this Creditors Controller role, you’ll manage key supplier relationships and ensure smooth financial operations within a well-structured, fast-paced environment. If you’re ready to bring your experience into a role that values accuracy, accountability, and continuous improvement, this is the opportunity to make a real impact

Duties:

• Process and capture foreign supplier invoices
• Reconcile vendor accounts and resolve discrepancies
• Prepare and process foreign payments
• Process and schedule foreign vendor payments
• Perform monthly creditor reconciliations to supplier statements
• Prepare and review the vendor aging report regularly
• Prepare and maintain weekly/monthly cash flow forecasts

Job Experience & Skills Required:

Qualifications: 

• Completed diploma or Certificate required 
• Completed BCom degree would be beneficial

Experience:

• 5 years’ experience required
• Experience within the manufacturing industry preferred 

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• My client is a leading property company listed on the Johannesburg Stock Exchange, dedicated to excellence in property management, development, and investment. Their portfolio includes some of the most prestigious properties in the region, and they pride themselves on delivering outstanding value to their stakeholders. The successful candidate will be highly analytical and strong with reporting.

Duties:

• Reporting – internal and external
• Forecasting and budgeting 
• Financial modelling 
• Financial analysis
• Variance analysis

Education and experience:

• BCom Honours in Accounting minimum with at least 4 years experience in a similar role
• Or Newly qualified CA(SA)
• Property industry experience is essential
   

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• This is an opportunity to work at the forefront of international markets, supporting sophisticated portfolios and contributing to strategic decision-making in a dynamic, fast-moving environment.
• In this role, you’ll be responsible for monitoring and analyzing market and product risk across a diverse set of exposures. You’ll partner closely with commercial, finance, and technical teams, ensuring that risk is accurately assessed, managed, and reported across the business.

Key Responsibilities:

• Daily market risk monitoring, reporting, and commentary
• Performing VaR analysis, stress testing, and scenario modelling
• Collaborating with cross-functional stakeholders on business and product decisions
• Enhancing risk tools and driving automation initiatives
• Supporting ad-hoc projects including new business activities and complex transactions

Your Profile:

• Proven experience in market or product risk within financial services, banking, or large multinational corporates
• Exposure to financial or physical products and a strong grasp of valuation and risk principles
• Technical proficiency (e.g. Python, VBA, SQL) an advantage
• Commercial acumen with strong analytical and interpersonal skills
• Degree in quantitative disciplines, or similar

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• Are you passionate about using data to drive meaningful impact? We're looking for a Data Scientist / Statistician who can go beyond the basics—combining statistical depth, data science know-how, and AI capabilities to deliver truly actionable business insights.
• This role is perfect for someone who thrives in a dynamic, client-focused environment where your analysis leads to real decisions, innovation is encouraged, and continuous improvement is part of the DNA.

What You’ll Do:

• Design smart sampling strategies and extract insights using advanced statistical methods, predictive modelling, and data science techniques.
• Own the full analytics cycle: from scoping and sampling through to modelling and reporting.
• Leverage tools like Python, R, SQL, SPSS (and more) to turn complex data into clear business value.
• Work closely with clients and internal teams to translate needs into scalable analytical solutions.
• Design and maintain data architectures and pipelines to support efficient, secure, and accurate delivery.
• Stay ahead of the curve by integrating new technologies like AI, machine learning, and automated reporting.

What You Bring:

• Postgraduate degree in Statistics, Mathematics, or Data Science.
• 3–5 years of hands-on experience in statistical research, data analysis, or data science.
• Proficiency with SPSS, Python, SQL, and other analytical tools.
• Strong understanding of statistical modelling, hypothesis testing, and data-driven experimentation.
• Excellent reporting and communication skills—able to present findings with impact.
• Experience in sampling methodologies, dashboard reporting, and big data architecture is a plus.
• A consultative mindset and the ability to manage client expectations and deadlines with confidence.

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• We’re looking for a Predictive Modeller who thrives on autonomy, owns their work end-to-end, and wants to push the boundaries of what’s possible with machine learning and data science.

What You’ll Be Doing:

• Design and build predictive models from the ground up to solve real-world business problems.
• Own the entire modelling lifecycle—from data exploration to deployment.
• Apply advanced machine learning and statistical methods to drive performance and value.
• Collaborate with cross-functional teams to turn business challenges into model-driven solutions.
• Contribute to exploratory, strategic, and operational modelling projects.
• Drive innovation by questioning assumptions and delivering smarter insights.
• Continuously test, refine, and optimise models for accuracy and impact.

What We’re Looking For:

• 3+ years of hands-on predictive modelling experience (development, not just maintenance).
• Proven track record building models using real-world, messy datasets.
• Strong programming skills in Python, R, SQL, or equivalent.
• Deep understanding of machine learning algorithms and their application in a business context.
• Independent, proactive mindset – able to drive your work forward with minimal oversight.
• Experience in financial services or insurance modelling is a strong advantage.
• Must be office-based and excited to work in a fast-paced, collaborative team environment.