EY Capital Markets Manager Technology Consulting FS 

United Kingdom, Scotland, Edinburgh 

972521521

which requires a strong data and technology focus to deliver strategic future proof solutions with a control and efficiency lens. This presents an opportunity for Technology Consulting to support our clients in helping them to articulate their technology and data strategy and implement their transformations by harnessing the power of their data, identifying business enabling technology tools and capabilities and streamlining their technology estates.

You will have the opportunity to work on business-critical engagements. In recent years we have helped investment banks

We also help banks to become more profitable, either by developing new revenue streams, or crucially, by reducing costs.

We come at transformation problems in the following ways with respect to technology:

• We are highly skilled at delivering and overseeing large scale technology change – from inception and requirements definition through to operational readiness. We prefer an agile methodology but are happy to work in whatever ways our clients demand.

• We are increasingly bringing technology assets to clients to help accelerate transformation. Our technology assets include proprietary EY tools as well as best-of-breed vendor tools.

• We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody’s, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too.

• We are passionate about keeping pace with the latest emerging technology. We have recently invested in senior hires in Cloud, Digital, Intelligent Automation and AI. But we aren’t interested in technology for the sake of technology – we combine the tech mindset with EY’s deep business and regulatory knowledge in order to deploy technology intelligently to solve business problems.

• We are always mindful of the role we and our clients play in relation to long term sustainability and the drive to help financial services become a low carbon industry. We are already advising clients on sustainability and the enabling role that data and technology play.

Your key responsibilities

There are multiple aspects of the role:

• Engagement delivery: roles vary from engagement to engagement, but are likely to include techno-functional analysis, solution and data architecture, data analysis, solution design, and end to end implementation management. As a Manager you can expect significant people leadership responsibilities and will face off to senior members of client teams.

• Risk Technology Solution development: contributing in a number of ways to the Risk Technology solutions that we bring to market to address the needs of our client. This could entail research, design of prototypes, working with alliance partners, software engineering and testing.

• Business development; including the development of long-term trusted advisor relationships with our clients. You will also work on proposals and, from time to time, support thought leadership that we issue to the market.

There are three sets of skills required for successful candidates – commercial and interpersonal skills, investment banking knowledge and risk technology domain expertise. As a Manager you will likely have many but probably not all of the skills listed below.

Commercial and interpersonal skills

• Ability to manage multiple stakeholder communities with varying levels of experience
  

• Ability to lead teams and take accountability for delivery

• Ability to demonstrate strong collaboration across a wide spectrum of colleagues, including internationally. A proven track record of working with offshore teams would be a major benefit.

• High level of drive, commitment to achieving solutions and ability to work under pressure

• Ability to engage with our clients and build strong, collaborative relationships.

• Intellectual strength / flexibility to rapidly understand complex problems, apply critical thinking, and rationalise these into workable solutions which can then be delivered

• Appreciation of EY’s solutions / go to market abilities and how these service client needs

• A demonstrable commitment to diversity and inclusiveness

Investment banking skills

• Good understanding of Prudential Risk including Market Risk, Model Risk, Credit Risk, Counterparty Credit Risk and Liquidity Risk. Knowledge of Non-Financial Risks such as Conduct Risk, Cybersecurity Risk, Data Risk, Compliance risk and Reputational Risk.

• Strong product knowledge, with the ability to face off to risk and front office functions in particular

• Experience of working with Risk stakeholders within Risk Transformation programmes. Some knowledge of Basel 3 Framework, Basel IV, CRR II / CRD V, FRTB, IRRBB and Liquidity Risk would be valuable

• Understanding of Risk business processes including but not limited to VAR, Risk Limits, Stress testing, ILAAP and ICAAP, Default Probability, Exposure at Default, Loss given Default.

• A demonstrable interest in the digitisation of investment banks and an understanding of the Risk Technology landscape

• Understanding of the capital markets ecosystem (sell side, buy side, FMIs, service providers, vendors)

• Financial risk management skills and knowledge of systems and data to support the industry respond to UK and European regulation to manage climate risk

• A point of view on how the investment banking industry will continue to evolve and how the technology, innovation and FinTech landscape will shape the future

Technical skills

• Large scale programme delivery (Agile, DevOps, waterfall) – SCRUM qualifications would be beneficial. Understanding of the System Delivery Life Cycle.

• Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence

• Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI

• Solution architecture (Business, Functional, Technical)

• Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI

• Integration architecture

• Testing/quality engineering; experience of test automation will be beneficial

• Process Automation, BPM and Digital Platforms, e.g. Pega

• Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial)

• Experience of handling information security and privacy challenges

• Interest and awareness in emerging technologies

• Experience of vendor packages.

• An appreciation of Artificial Intelligence and Machine Learning

Academic and prior experience

• A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path.

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Apply now.

Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness.We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters!