Auditor - Technology Investment Banking and Innovation

0840 Deutsche Bank Aktiengesellschaft, Filiale London
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Faculty of Data-Driven AI in Special Education (Tenure Track/Tenured, F1051A)

Data Science Manager

Description

:

Job TitleInformation Technology (IT) Auditor - Investment Banking

LocationBirmingham

Corporate TitleAssistant Vice President

The Group Audit (GA) function takes a proactive, risk-based and independent approach to assist the Bank’s business and infrastructure functions to identify key control weaknesses.

You will be joining the global GA Investment Banking Application & Innovation Technology team reporting into the Principal Audit Manager responsible for covering the Bank’s Technology and Information Security risks and controls across Investment Banking and the Bank’s Innovation activities covering emerging technologies such as artificial intelligence, robotic process automation and cloud computing.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

Hybrid Working

We understand that employee expectations and preferences are changing. We have implemented a that enables employees to reach a working pattern that works for them. Eligible employees have the opportunity to work from the office and remotely from home (subject to the role’s eligibility).

You can expect:

Competitive salary and non-contributory pension

30 days’ holiday plus bank holidays, with the option to purchase additional days

Life Assurance and Private Healthcare for you and your family

A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits

The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year

Your key responsibilities

Evaluate the effectiveness of internal IT controls supporting Innovation and Investment Banking areas including Fixed Income & Currencies, Electronic Trading, Origination and Advisory in accordance with GA methodology and the established risk assessment framework

Conduct technology assessments, continuous monitoring and complete all work assignments on a timely basis - including planned audits, finding validations, and ad-hoc projects

Prepare, coordinate and execute audit assignments, attend meetings with internal stakeholders, draft exceptions and audit findings for review by the audit lead and audit management, facilitate tracking and closure validation of findings

Stay abreast of business/industry changes and their effect on the team's audit plan, GA methodology and risk assessments

Pro-actively develop and maintain professional working relationships with colleagues, the business and respective support areas. Contribute to departmental projects and initiatives

Your skills and experience

Experience in auditing or practical working experience in software development, application lifecycle, vendor management and cyber security including IT general and automated application controls

Ability to multi-task assignments, prioritize workloads with minimal supervision and work well within teams, building strong relationships

Strong analytical and communication skills with the ability to clearly articulate control deficiencies and related risks

Firm commitment to maintaining the highest professional and ethical standards - and the ability to stand your ground when challenged

Undergraduate or equivalent degree in information technology, computer science or a related discipline; and relevant professional certifications (e.g. CISA, CISSP, CCAK, CCSP, ITIL, COBIT) preferred

Interest in coding, cyber security, data analytics, as well as emerging technologies relating to artificial intelligence, cloud and robotics is an advantage

How we’ll support you

GA’s dedicated in-house Staff Development team will provide you with an understanding of GA’s methodology, as well as basic product knowledge and associated risk and control matters

We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g., screen readers, assistive hearing devices, adapted keyboards)

Please note the expected salary for some roles may be below the minimum level requirements to support candidates who require a Skilled Worker visa to work in the UK. Should you already have a Skilled Worker visa and are identified for a role, we can discuss and support you with the process

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.