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Statistician Jobs in Cape Town

1 - 15 of 52
1 - 15 of 52
Search Results - Statistician Jobs in Cape Town
Mindrift-Cape Town
is project-based, not permanent employment.What This Opportunity InvolvesWhile each project involves unique tasks, contributors may:Design original computational statistics problems that simulate real mathematical research workflows;Create problems requiring...
Communicate Recruitment-Cape Town
and statistical tools Analyse market, issuer, and structural risks across listed credit instruments Collaborate with analysts, traders, and risk teams to embed quantitative insights into investment decisions Contribute to thought leadership, investment committee...
wePlace-Cape Town
and the ability to work independently while driving projects from concept to delivery. Education (Minimum)  •  A relevant tertiary qualification in Business Administration or Statistics Education (Ideal or Preferred)  •  Certification in Business Analysis...
Communicate Recruitment-Cape Town
/ Spreadsheet skills Qualification: Bachelors degree in Actuarial Science, Statistics, Data Science, or a related field Contact Penny Janse Van Rensburg on...
Network Finance-Cape Town
Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field (preferred) Bachelor’s degree in a quantitative discipline required Technical Skills: Strong programming capability in Python (R or Scala...
Palesa Mbali Group-Cape Town
and legislation relevant to financial services.  •  Recently Completed Degree in Business Science degree with majors in Finance, Economics, Investments, Engineering, Mathematics and Statistics.  •  Computer literacy – Intermediate / Advanced  •  Minimum 65...
WatersEdge Solutions-Cape Town
and the advancement of data intelligence solutions. What You’ll Bring Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, or Computer Science (Postgrad preferred) 7+ years of experience in senior data science roles 3+ years of experience...

Statistician jobs – More locations:

CA Financial Appointments-Cape Town
and risk management  •  Design, develop, and implement quantitative strategies for listed credit portfolios  •  Build and refine quantitative models, factor frameworks, and statistical tools  •  Analyse market, issuer, and structural risks across listed credit...
The Hiring House-Cape Town
Undergraduate degree with majors in Information Systems / Mathematics / Statistics / Engineering, Finance or similar. Alternatively, at least 3 years' work experience in a business intelligence / engineering role will be considered. A relevant post-graduate...
Network Recruitment-Cape Town
collaboration with senior stakeholders.Key Responsibilities:  •  Collect, clean, and prepare data from multiple sources using SQL and Python  •  Perform advanced data analysis using statistical and machine learning techniques  •  Build, test, deploy, and maintain...
OfferZen-Cape Town
understanding of data structures, algorithms, and statistics Nice to have:  •  Experience with large-scale models (LLMs, diffusion models, or similar)  •  Familiarity with distributed training and cloud compute (AWS, GCP, Azure)  •  Publications or contributions...
Communicate Recruitment-Cape Town
complex ideas to non‑technical stakeholders Qualification: Bachelors or Honours degree in Actuarial Science, Statistics, Data Science, Mathematics, or a related quantitative field Minimum 25 years relevant experience in credit risk, pricing, analytics...
Bridgena Barnard & Associates-Cape Town
Induction Training manual Annually for all employees and on-site contractors  •  Capture safety, health, and environmental monthly statistics on Mpres  •  Administration and capturing of data pertaining to portfolio  •  Ensuring that all documented evidence...
Network Recruitment-Cape Town
design knowledge  •  Understanding of statistics and data visualisation techniques Apply now!...
Network Recruitment-Cape Town
Key Responsibilities:  •  Collect, clean, and prepare data from multiple sources using SQL and Python  •  Analyse and interpret data using advanced statistical and machine learning techniques (e.g. GLMs, decision trees, clustering, neural networks...
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