Actuarial Science. Experience: 2-5 years in a senior quantitative role, ideally in banking or telecommunications
Actuarial Science. Experience: 2-5 years in a senior quantitative role, ideally in banking or telecommunications
seeking an exciting opportunity to revolutionize the banking industry? Join a dynamic team at a leading financial data to drive innovation and enhance customer experiences As a Data Scientist with us, you'll play a pivotal programming languages such as Python or R, along with experience using data manipulation and visualization libraries and machine learning algorithms, with hands-on experience applying them to real-world problems. Expertise
seeking an exciting opportunity to revolutionize the banking industry? Join a dynamic team at a leading financial data to drive innovation and enhance customer experiences As a Data Scientist with us, you'll play a pivotal programming languages such as Python or R, along with experience using data manipulation and visualization libraries and machine learning algorithms, with hands-on experience applying them to real-world problems. Expertise
Statistics, Mathematics, or related field Proven experience as a BI Analyst, with expertise in SQL, data working experience in building ETL pipelines and experience in SSIS, SSRS and SSAS Azure experience is a collaboration skills, with experience working with cross-functional teams Experience in the insurance or financial
Statistics, Mathematics, or related field Proven experience as a BI Analyst, with expertise in SQL, data working experience in building ETL pipelines and experience in SSIS, SSRS and SSAS Azure experience is a collaboration skills, with experience working with cross-functional teams Experience in the insurance or financial
Statistics, Mathematics, or related field Proven experience as a BI Analyst, with expertise in SQL, data working experience in building ETL pipelines and experience in SSIS, SSRS and SSAS Azure experience is a collaboration skills, with experience working with cross-functional teams Experience in the insurance or financial
Statistics, Mathematics, or related field Proven experience as a BI Analyst, with expertise in SQL, data working experience in building ETL pipelines and experience in SSIS, SSRS and SSAS Azure experience is a collaboration skills, with experience working with cross-functional teams Experience in the insurance or financial
Qualifications: CA(SA) 2-3 years post article experience Experience with Salesforce & Netsuite advantageous
degree preferred Job Experience & Skills Required: Minimum 4 years of experience in a relevant field data analysis. Strong analytical skills with experience in big data processing and manipulation. Proficiency programming languages commonly used for data analysis. Experience applying statistical modelling techniques to Prior experience developing or working with fraud detection models is highly desirable. Experience in data in Microsoft Office Suite and SQL is required. Experience with machine learning techniques, Oracle database