Corporate Audit Data Analytics Apprentice

STATE STREET BANK AND TRUST COMPANY

Canary Wharf (E14 5HJ)

Closes in 12 days (Thursday 20 November 2025 at 11:59pm)

Posted on 7 November 2025

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Summary

Looking for an apprentice to join our Corporate Audit Division covering business in key areas. You will play a crucial role using data analysis techniques to extract, transform and analyse data from various sources to identify risks and control weaknesses thereby improving the efficiency and effectiveness of audits.

Wage

£28,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Monday to Friday 9am to 5pm

40 hours a week

Start date

Tuesday 20 January 2026

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

What you will be responsible for?

As a Corporate Audit Data Analysis Apprentice, you will:

  • Perform audit work in line with the division’s risk-based methodology and the Institute of Internal Auditor’s standards to identify and understand risk; determine control objectives; and evaluate whether controls sufficiently address identified risks through various testing techniques
  • Obtain, extract and analyse large data sets using tools like SQL, Python or Alteryx to identify patterns, anomalies and potential risks. Create data visualisations using Power BI/Tableau to communicate findings as a basis for drafting informed and objective opinions on the adequacy and effectives of controls under review
  • Use data analytics to assess and identify key risk indicators, enabling auditors to focus on high-risk areas
  • Innovate and drive continuous improvement in audit processes through the use of new technologies and techniques
  • Ensure the accuracy and reliability of data used in audits
  • Develop knowledge and use of data tools
  • Develop and maintain current knowledge of audit industry practices, regulatory environment and industry developments

Where you'll work

20 Churchill Place
London
Canary Wharf
E14 5HJ

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

FITCH LEARNING LIMITED

Training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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

Training schedule

Data Analyst Level 4.

Requirements

Desirable qualifications

A Level in:

  • Business (grade C)
  • Computer Science (grade c)
  • Economics (grade C)
  • Mathematics (grade B)
  • statistics (grade c)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Non judgemental
  • Patience

Other requirements

Please ensure your grades are fully visible on your application. Passing a Disclosure and Barring Service (DBS) check.

About this employer

We are a global leader across investment servicing, markets and financing, and investment management. With 11.5 percent1 of the world’s financial assets flowing through our doors every day, we are a trusted partner to institutional investors and a vital part of the global economy. Together with our clients — asset managers and owners, insurance companies, official institutions and central banks — we help create better outcomes for the world’s investors and the people they serve.

https://careers.statestreet.com/global/en/c/finance-and-audit (opens in new tab)

After this apprenticeship

What you’ll gain:

  • Technical depth: SQL/Python/Alteryx for data prep, analytics, automation; Power BI/Tableau for storytelling; data quality and controls
  • Risk and audit mindset: How banks manage risk, controls testing, regulatory expectations, and internal audit standards
  • Problem solving at scale: Working with real production datasets, spotting anomalies, and prioritising high‑impact issues
  • Stakeholder skills: Writing clear findings, presenting to auditors and business leads, influencing actions
  • Delivery habits: Agile ways of working, documentation, evidence standards, and meeting deadlines

Where it can take you (example paths):

  • Data Analyst → Senior Analyst → Analytics Lead (across audit, risk, finance, operations)
  • Internal Audit Analyst → Auditor → Audit Manager (with a data specialisation)
  • Risk/Compliance Analyst → Financial Crime/Operational Risk Data roles
  • Data Engineering/Automation (if you lean into Python/ETL tooling)
  • BI/Reporting Developer or Product Analytics (if you enjoy visualisation and metrics)
  • Credentials and progression support
  • Level 4 apprenticeship plus portfolio of real audit analytics projects
  • Exposure to Institute of Internal Auditors (IIA) methods; potential to pursue IIA/IRM certifications later
  • Mentoring and feedback loops from VP‑level leaders; evidence you can showcase on your CV and in interviews

Why it accelerates your career:

  • Rare combo of technical skills + regulatory/audit context
  • Tangible impact: your insights drive audit focus and management actions
  • Transferable toolkit valued across financial services and beyond

Ask a question

The contact for this apprenticeship is:

FITCH LEARNING LIMITED

The reference code for this apprenticeship is VAC1000350299.

Apply now

Closes in 12 days (Thursday 20 November 2025 at 11:59pm)

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