Finance Apprentice

Summary

As a Finance Apprentice, you'll have the opportunity to work in the Finance division, looking after the Firm’s books and records. Examples of the types of roles performed include the preparation of financial statements, analysis of financial performance, accounting and tax advisory, valuation reviews as well as ensuring adherence to regulations.

Annual wage: Competitive
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: 9:00am - 5:30pm Monday - Friday in person.
40 hours a week
Possible start date: Monday 1 September
Duration: 1 year 6 months
Positions available: 2

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

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

Where you’ll work

20 Bank St

Canary Wharf

London

E14 4AD

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

MULTIVERSE GROUP LIMITED

Your training course

Data analyst (level 4)

Equal to higher national certificate (HNC)

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

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.

Requirements

Essential qualifications

GCSE in:

English (grade 4-9 (C-A))
Maths (grade B)

A Level in:

Three A Levels - 1 STEM subject required (grade A* - C)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
Attention to detail
Organisation skills
Analytical skills
Team working
Problem Solving

About this company

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.

http://www.morganstanley.com/campus (opens in new tab)

Company benefits

- Health Cover - Mentor Scheme - Multiverse Community - Pension - Social Events - Volunteering

After this apprenticeship

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.

Ask a question

The contact for this apprenticeship is:

MULTIVERSE GROUP LIMITED

The reference code for this apprenticeship is VAC1000295970.

Apply now

Closes on Friday 28 February

When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.

After signing in, you’ll apply for this apprenticeship on the company's website.

Company’s application instructions

To apply, please click the link above to create a Multiverse account.

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