Job Overview Business Segment: Insurance & Asset Management Location: ZA, GP, Roodepoort, Ellis Street 4 Job Type: Full-time Job Ref ID: 80345579A-0001 Date Posted: 9/5/2024 Job Description To support Pricing Head and COO with the following:Predicting Modelling: Identify and assess service providers' performance and efficiencies and recommend service providers' management strategy solutions.Driving efficiencies by developing and implementing:- Dynamic write-off models- Fraud detection models- Claims fast tracking models- Salvage and recoveries models- Develop and implement monitoring reports for the COO and other operational modelsQualificationsMinimum Qualifications:- 3-year BSc with Actuarial/Mathematics/Statistics majors- Honours will be an added advantageExperience Required:- Minimum 3-5 years of financial service or analytics experience- At least 3 years of data analytics, machine learning models modelling- Advanced experience in SAS, SQL, Python, R, and other general coding skills- Experience with any visualisation platforms such as Power BI, Qlik-view and other general platforms will be an advantage- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Additional InformationBehavioral Competencies:- Attention to detail- Analytical thinking abilities- Communication skills – excellent written, verbal and presentation skills- Disciplined and have a high level of integrity, professionalism, respect and trustworthiness- Self-motivated and positive attitude- Team player- Business acumenTechnical Competencies:- Understanding of short-insurance business principles- Data mining skills, data visualisation and interpretation- Experience in machine learning algorithms- Experience in pricing will be an advantagePlease note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or ******
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