Crédit Agricole CIB
12 Month Internship - Computational Finance
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12 Month Internship - Computational Finance
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 are, but are not limited to:
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Candidate Criteria
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Minimal education level Bachelor Degree / BSc Degree or equivalent
Academic qualification / Speciality
Degree 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
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