At a Glance
- Tasks: Analyse and prepare data for impactful reports using Power BI and AI tools.
- Company: Join a leading financial institution with a focus on innovation and technology.
- Benefits: Gain hands-on experience, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with top IT professionals and enhance your career in finance.
- Why this job: Be at the forefront of AI and data analytics in a dynamic work environment.
- Qualifications: Strong skills in MS Office and AI tools; relevant degree preferred.
The predicted salary is between 20000 - 30000 £ per year.
Provide the IT department with data analysis, cleansing, and preparation prior to building reports and dashboards using Power BI and AI tools. Assist in developing AI use cases based on requests from London Branch users, aligned with the BPCE Group’s AI framework.
Responsibilities
- Data Management
- Gain an understanding of the various data and information sources used by the team.
- Analyse, cleanse, and prepare data for reporting.
- Reporting
- Create data-driven reports, including Corporate & Investment Banking (CIB) operational reports (e.g., ESG Reporting, IT Support KPIs).
- Automation
- Automate reporting and transition manual workflows into streamlined solutions using Power BI, Power Automate, and Alteryx.
- AI & Use Cases
- Proactively utilise AI tools to optimise team workflows, analyse financial data, and automate routine tasks.
- Develop AI use cases: proactively identify opportunities, design, and implement practical AI solutions.
- Documentation
- Assist in maintaining and updating operational, financial, and procedural documents in line with Group standards.
- Propose new reporting methods and continuous improvements
- Design innovative reports and dashboards.
- Identify opportunities for efficiency improvements.
- Reporting Line
- Provide timely progress updates to the Head of Europe Business Management.
- Review of Work
- Participate in weekly and monthly work reviews with the Head of Europe Business Management.
- Key Stakeholders / Liaison
- Liaise regularly with the CIO and other IT Heads (GMC, Infrastructure/Production, Risk & Security).
Required Skills/Qualifications/Experience
- Technical & AI Skills
- Strong proficiency in MS Office (PowerPoint, Excel, Word) and the MS Power Platform (Power BI, Power Automate, and Power Apps).
- Experience using various AI tools to develop use cases that support data cleansing, analysis, report writing, and routine automation.
- Prior experience with Alteryx is highly desirable.
- Experience & Qualifications
- Bachelor’s degree in Finance, Business Administration, Computer Science, or a related field (a Master’s degree is an advantage).
- Prior foundational experience (through internships or academic projects) in Data Analytics, Finance, or Investment Banking is beneficial.
- Language Requirements
- Professional proficiency in English (both written and verbal).
- Proficiency in written and spoken French is an advantage, as the role requires working closely and liaising with the Paris Head Office on AI initiatives.
Intern - IT Business Management Data in London employer: Natixis NY Branch
At Natixis NY Branch, we pride ourselves on fostering a dynamic work environment that encourages innovation and professional growth. As a Compliance Surveillance Intern, you will gain invaluable experience in the financial sector while working alongside industry experts in a collaborative culture that values your contributions. Our commitment to employee development is matched by our competitive benefits package, making us an excellent employer for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Intern - IT Business Management Data in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Intern - IT Business Management Data in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Natixis NY Branch will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Natixis NY Branch
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Natixis NY Branch.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Natixis NY Branch that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
