At a Glance
- Tasks: Lead data transformation projects and design innovative strategies for financial services clients.
- Company: Join EY, a global leader in professional services with a focus on financial services.
- Benefits: Continuous learning, flexible work options, and a diverse, inclusive culture.
- Other info: Collaborate with talented teams and develop your career in a supportive atmosphere.
- Why this job: Make a real impact by solving complex data challenges in a dynamic environment.
- Qualifications: 3+ years in Financial Services, preferably with consulting experience.
The predicted salary is between 63000 - 77000 £ per year.
Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting
Location
Other locations: Primary Location Only
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.
And we’re counting on your unique voice and perspective to help EY become even better, too.
Join us and build an exceptional experience for yourself, and a better working world for all.
We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace.
Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective.
Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services
The opportunity
With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey.
We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations.
Whether you are a Consultant at the start of your career or a Manager looking for the next opportunity, if you want to make a difference by developing leading data and technology strategies and helping to solve our clients’ most pressing data challenges, we would love to hear from you.
- Your key responsibilities
- Design the execution of our clients’ transformation programs to support their transition towards a data-driven organisation, with data and people at the heart of change.
- Bring to life a seamless data and analytics strategy that solve our clients’ most complex business challenges to enable the making of better-informed decisions.
- Design and implement data and technology operating models that encompass people, process, technology, and data.
- Leverage data platforms and solutions to help our clients visualise and better understand their data.
- Provide thought leadership on how our clients can innovate with traditional or emerging technology tools and disrupt their current ways of working to extract greater value from their input.
- Lead and support the creation of client proposals and business development initiatives.
Skills and attributes for success
- Understand how data strategies are created and implemented.
- Passion for designing large, multi-year data transformations with people at the centre of change.
- Passion for solving big complex problems using data and technology
- Working with diverse and inclusive teams of talented people solving client issues.
- Build strong, meaningful relationships with client stakeholders.
- Work as a team player to support other team members by sharing your knowledge, experience, and skillsets.
- To qualify for the role, you must have
- Minimum 3 years’ experience in Financial Services (either industry or consulting and appropriate to your level).
Preferably a year of consulting experience in any of the Big 4 or consulting firms.
- Experience in data and analytics approaches such as data mesh.
- What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.
What we offer
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
The exceptional EY experience. It’s yours to build.
EY | Shape the future with confidence
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity.
Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting employer: EY
EY is an exceptional employer that fosters a collaborative and innovative work culture in Birmingham, providing employees with the opportunity to lead complex tax engagements for prestigious multinational clients. With a strong emphasis on professional development, EY offers extensive training and growth opportunities, ensuring that you can advance your career while making a meaningful impact in the dynamic field of corporate tax.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EY!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting at EY.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EY.
✨Apply Directly through Our Website
When you find a suitable opening like Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting at EY, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Strategy and Transformation (Financial Services) Senior Consultant / Manager, Tech Consulting
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EY, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EY
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EY!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
