cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
Operations Collation of all clients related information (data discovery and fact find) and preparation of documentation Financial Planning Partner and client. FICA and AML capture and checking on client onboard process. Checking ongoing fees are received from the relevant PPs. Capture and checking of new business documentation to ensure Schedules are up to date and accurate. Data capture of client demographic data on client relationship management system XPlan. Client financial data capture (ASTUTE, PPs and manual). Data integration between XPlan and
Operations Collation of all clients related information (data discovery and fact find) and preparation of documentation Financial Planning Partner and client. FICA and AML capture and checking on client onboard process. Checking ongoing fees are received from the relevant PPs. Capture and checking of new business documentation to ensure Schedules are up to date and accurate. Data capture of client demographic data on client relationship management system XPlan. Client financial data capture (ASTUTE, PPs and manual). Data integration between XPlan and
Completing and updating quotations on Syspro. Capturing of sales orders and dispatch notes on Syspro.
Completing and updating quotations on Syspro. Capturing of sales orders and dispatch notes on Syspro.
processes by collecting, analysing, and reporting of data to the various business departments. Job Responsibilities: Responsibilities: Create written reports and/or data visualisations that business stakeholders can use to monitor across business KPIs Collect, sort, filter, analyse data and interpret the results to look for patterns and
and sales reporting. - Ability to analyse data and present data in a professional manner - Excellent customer
profit by closely analyzing and reporting financial data, in particular deviations from budget. manage the
profit by closely analyzing and reporting financial data, in particular deviations from budget. Manage the
profit by closely analysing & reporting financial data and, in particular, deviations from budget Manage