At a Glance
- Tasks: Support strategic projects using machine learning and financial modelling in a dynamic team.
- Company: Join Crédit Agricole CIB, a leader in Corporate & Investment Banking.
- Benefits: Gain hands-on experience, develop technical skills, and enhance your career prospects.
- Other info: Inclusive workplace welcoming diverse backgrounds and experiences.
- Why this job: Make an impact in finance while working with cutting-edge technology and innovative solutions.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in machine learning is a plus.
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.
Education
Bachelor Degree / BSc Degree or equivalent in Computer Science, Engineering, or a related field.
Experience
Proven experience in computational machine learning engineering, XVA modelling, and AAD techniques.
Required skills
- High level of creativity.
- Autonomy.
- Strong team spirit.
Technical skills required
- Proficiency in C++ is desirable.
- Python.
- SQL programming.
All our jobs are open to people with disabilities. We welcome applications from candidates of all backgrounds and experiences.
12 Month Internship - Computational Finance in London employer: Crédit Agricole SA
Crédit Agricole CIB offers an exceptional internship experience in the heart of London, where innovation meets collaboration. As a Computational Finance Intern, you'll benefit from a dynamic work culture that fosters creativity and autonomy, while gaining invaluable exposure to cutting-edge financial modelling and machine learning techniques. With a commitment to employee growth and inclusivity, this role provides a unique opportunity to contribute to impactful projects within a leading corporate and investment banking environment.
StudySmarter Expert Advice🤫
We think this is how you could land 12 Month Internship - Computational Finance in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees in the Computational Finance field. They can provide insider info on the application process and what the team values most.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those using Python and C++. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills by solving real-world problems related to XVA modelling and financial computations. This will help you feel more confident when discussing your approach in interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Crédit Agricole CIB.
We think you need these skills to ace 12 Month Internship - Computational Finance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computational machine learning and financial modelling. We want to see how your skills in Python and C++ can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this internship. Share your passion for finance and technology, and mention specific projects or experiences that relate to the Smart XVA Project.
Showcase Your Creativity:We love innovative thinkers! In your application, highlight any unique solutions or ideas you've implemented in past projects, especially those involving neural networks or machine learning techniques.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our Global Market Division.
How to prepare for a job interview at Crédit Agricole SA
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've implemented machine learning models or financial modelling techniques. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Creativity
Since the role requires a high level of creativity, think of innovative solutions you've proposed in past projects. Prepare to discuss how you approached problem-solving and any unique methods you used, especially in relation to neural networks or XVA computation.
✨Collaboration is Key
This internship involves working with various teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you've engaged with different departments, like Risk Management or Trading, and how you integrated feedback into your work.
✨Research the Company and Role
Familiarise yourself with Crédit Agricole CIB and their Global Market Division. Understand their current projects, especially the Smart XVA Project, and be ready to discuss how your skills align with their goals. This shows genuine interest and helps you stand out as a candidate.
