Chatham Financial is seeking quantitative interns to develop innovative models and solutions that drive their business forward by helping clients analyze, account for, and report on their financial risk.
Requirements
- 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.
Responsibilities
- Be a member of a team focused on building financial models or machine learning applications in Python.
- Prototype and deliver models that measure financial risk, value derivative positions, or explore new uses of generative AI technology in financial technology.
- Analyze large datasets to identify trends, patterns, and opportunities.
- Conduct research to support decision-making and enhance model accuracy
- Collaborate with cross-functional teams to integrate quantitative solutions into our systems and processes.
Other
- Working towards post-graduate degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience. Exceptional undergraduates will also be considered.
- Contributions to the local developer community.
- Applicants must be currently enrolled in a PhD program and expected to graduate within one year.
- The internship will begin on June 1, 2025, and run through August 7, 2025.
