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 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.
Geographical area: Europe, United Kingdom
City: London
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 employer: Crédit Agricole SA
At Crédit Agricole CIB, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and collaboration. As a Computational Finance Intern in London, you will have the opportunity to work on cutting-edge projects while developing your skills in machine learning and financial modelling, all within a supportive team that values creativity and autonomy. Our commitment to employee growth is reflected in our comprehensive training programmes and diverse career pathways, making us an excellent employer for those seeking meaningful and rewarding experiences in the corporate and investment banking sector.
StudySmarter Expert Advice🤫
We think this is how you could land 12 Month Internship - Computational Finance
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees in the Computational Finance field. A friendly chat can give us insider info on the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those using Python and C++. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions related to computational finance and machine learning to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace 12 Month Internship - Computational Finance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with machine learning, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about computational finance and how you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially in machine learning and financial modelling.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at StudySmarter.
How to prepare for a job interview at Crédit Agricole SA
✨Know Your Tech
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.
✨Show Your Creativity
Since the role requires a high level of creativity, think of innovative solutions you've proposed in past projects. Prepare to share examples of how you've used neural networks or other advanced techniques to solve complex problems. This will highlight your ability to think outside the box.
✨Collaboration is Key
This internship involves working with various teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've engaged with different stakeholders, like Risk Management or Trading, to improve project outcomes. It’s all about showing you can work well with others!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the Smart XVA Project or how the team measures model performance. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
