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Summary
About the Role
About You
- Working towards a post-graduate degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.
- Experience with Matlab, R, Julia, or Python.
- Experience with Generative AI models (Open AI, Hugging Face, Anthropic).
- Experience with numerical packages such as NumPy or BLAS/LAPACK.
- Experience with Machine Learning libraries such as TensorFlow or PyTorch.
- Experience with low-level languages such as C, C++, Rust or Go.
- Quantitative and modeling skills with an ability to learn techniques in numerical optimization, data mining, Monte Carlo simulation, or model calibration.
- Open-source development projects.
- Contributions to the local developer community.
Benefits
- Dynamic and immersive experience in finance and technology.
- Opportunity to work alongside experts and develop innovative solutions.
Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 750 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries — handling over $1.5 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit chathamfinancial.com. Financial risk management advisory | Interest rate, foreign currency, and commodity hedging | Hedging execution and processing | Hedge accounting | Derivative and debt valuation | Derivatives regulatory compliance | ISDA review and negotiation | Defeasance and yield maintenance | Debt and derivatives analytics | Financial risk management technology | Investment banking