A typical day:
Due to the exciting and dynamic nature of the roles within Finance, no two days are the same, from analysing and summarising data, to supporting the Business Units and working on technology projects, the scope of the role is extensive. This creates an excellent setting for learning and personal growth.
Examples of responsibilities include:
Collating and analysing data sets using Excel to identify and understand key insights, and then presenting the results to your manager/team
Challenging and investigating problems that arise and proposing thoughtful solutions
Continuous learning to develop an understanding of investment banking products, trading, tax laws, accounting standards and technology skills
Preparing financial summaries as well as reviewing and validating their accuracy
Exploring the use of a variety of Digital Tools and Software to improve existing processes and minimise errors to ensure quality and accuracy of data
Training:Data Analyst Level 4.
20% off your working week will be dedicated to 'Off the job training' - ie apprenticeship studies which are completed online during work hours. This will include independent self paced learning, online tutorials alongside other apprentices and 1:1 coaching.Training Outcome:After your Data Analysis Apprenticeship, you can progress into any Junior Data Analyst, Data Scientist and Data engineer role. You'll have the skills to run insight analytical projects from beginning to end and work within a Data Analytics team.Employer Description:Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals.Working Hours :9:00am - 5:30pm Monday - Friday in person.Skills: Communication skills,Attention to detail,Organisation skills,Analytical skills,Team working,Problem Solving....Read more...
