Asset Management Apprenticeship Rotation Programme

Summary

Please see here for more information about the role and how to apply: https://connectr.pinpointhq.com/postings/e31dca36-33d6-4624-b27b-ddda70c6cfbe?token=S7hGiyBAjEV8EmAMJP6wgz8v

Wage: £26,000 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: Monday to Friday 9am to 5pm. 1 day a week dedicated to apprenticeship learning.
35 hours a week
Possible start date: Monday 22 September
Duration: 2 years
Positions available: 3

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

The apprenticeship rotation programme will provide a hands-on experience of the end-to-end asset management process
You’ll see first-hand how money moves through the business, how investments are analysed and how we ensure the process is optimised to keep things running smoothly.
develop your skills and knowledge within a fast-paced and progressive environment.

Where you’ll work

20 Old Bailey
London
EC4M 7AN

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

BPP UNIVERSITY 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

Training schedule has yet to be agreed. Details will be made available at a later date.

Requirements

Essential qualifications

GCSE in:

in at least 5 subjects (grade 9-4)

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
Problem solving skills
Administrative skills
Team working

About this company

We are the UK’s largest long-term savings and retirement business. Home to brands such as Standard Life and Sun-Life, with offices across the UK and into Europe. We have 6,600 colleagues, and around 1 in 5 people in the UK has a pension with us. It’s important for people to understand how to save enough money for their future, and we’re on a mission to help them. It’s an exciting and fast paced environment to work in to help people save for the future they want, even if you have never heard of pensions or working in the industry! We also want to be the best place that any of our colleagues have ever worked.

https://www.thephoenixgroup.com/ (opens in new tab)

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Progressing further through to a level 6 apprenticeship.

Ask a question

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