At a Glance
- Tasks: Support strategic projects using machine learning and financial modelling in a dynamic team.
- Company: Join a leading global market division with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge technologies.
- Other info: Exciting opportunity for career growth and networking in the finance industry.
- Why this job: Make an impact in finance while developing your skills in a collaborative environment.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in machine learning and XVA modelling.
The predicted salary is between 20000 - 30000 £ per year.
Join our Global Market Division as a Computational Finance Intern within the XVA / Scarce Resources team. This role is crucial in supporting the team across various strategic projects, including the Smart XVA Project, by leveraging advanced machine learning techniques and financial modelling skills. A deep understanding of computational machine learning and proficiency in Python are essential for this position.
Key Responsibilities
- Model Development: Implement and refine machine learning models using Pytorch, focusing on supervised, unsupervised, and reinforcement learning algorithms.
- Financial Modelling: Work closely with the XVA and Scarce Resources desk to enhance XVA pricing and modelling. Utilize C++ and Python to maintain and upgrade the XVACCR Library.
- Innovation: Propose and implement innovative solutions using neural networks to drastically speed up XVA computation and optimise RWA in E-trading systems.
- Collaboration: Engage with various internal teams, including Risk Management and Trading, to assess model performance and integrate feedback into development.
- Project Involvement: Actively participate in the development of the Collateral management platform and contribute to various front office and risk systems migration projects.
Candidate Criteria
- Bachelor Degree / BSc Degree or equivalent.
- Degree in Computer Science, Engineering, or a related field.
- Proven experience in computational machine learning engineering, XVA modelling, and AAD techniques.
12 Month Internship - Computational Finance employer: Crédit Agricole CIB
As a leading player in the financial sector, our company offers an exceptional internship experience within the Global Market Division, where innovation and collaboration thrive. Interns will benefit from a dynamic work culture that encourages professional growth through hands-on projects and mentorship, all while being part of a team that is at the forefront of computational finance. Located in a vibrant city, this role not only provides exposure to cutting-edge technologies but also fosters a supportive environment for aspiring finance professionals to develop their skills and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land 12 Month Internship - Computational Finance
✨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 12 Month Internship - Computational Finance
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 Crédit Agricole CIB 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 Crédit Agricole CIB
✨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 Crédit Agricole CIB.
✨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 Crédit Agricole CIB that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
