Chatham Financial-posted 3 months ago
Intern
Kennett Square, PA

Chatham Financials' Summer Internship Program offers a dynamic and immersive experience for aspiring technology professionals. Are you passionate about applying mathematical and statistical techniques to real-world financial challenges? Chatham Financial is seeking highly motivated and analytical students for our Quantitative Internship program. This is a prime opportunity to immerse yourself in the world of finance and technology, working alongside experts to develop innovative models and solutions that drive our business forward. In this role, you will have direct impact on delivering products and solutions to help our clients analyze, account for and report on their financial risk. You will use your quantitative skills to develop new models with a team of likeminded people. You will build models and processes to serve our clients across multiple sectors. You will help to foster an inclusive culture where technical excellence, delivery and collaboration is encouraged.

  • 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.
  • Working towards post-graduate degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.
  • Exceptional undergraduates will also be considered.
  • 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.
  • Entrepreneurial culture that rewards teamwork and innovation.
  • Opportunity to develop your fullest potential.
  • Impact on clients and community.
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