PhD ML Internship: Quant Finance Research & Modeling

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 25,000 - 40,000; Full time

Benefits offered by this job

One-on-one mentorship from experienced researchers

Access to unparalleled financial data and computing resources

Job summary

Susquehanna International Group in Bala Cynwyd is offering a Machine Learning PhD Internship that provides a 10-week immersive experience for candidates passionate about solving complex financial problems using machine learning. Interns will collaborate on impactful projects within the full-time research team, applying ML techniques to vast datasets and gaining mentorship. Candidates should be pursuing a PhD in related fields, have a strong publication record, and hands-on experience with machine learning frameworks like PyTorch and TensorFlow.

Qualifications

• Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
• Proven experience applying machine learning techniques in a professional or academic setting.
• Deep interest in solving complex problems.

Responsibilities

• Conduct research and develop ML models to identify patterns in noisy data.
• Collaborate with researchers and traders to improve existing models.
• Design and run experiments using the latest ML tools.

Skills

Machine learning techniques

Statistical analysis

Data science

PyTorch

TensorFlow

Education

Currently pursuing a PhD in Computer Science or related field

Job description

Susquehanna International Group in Bala Cynwyd is offering a Machine Learning PhD Internship that provides a 10-week immersive experience for candidates passionate about solving complex financial problems using machine learning. Interns will collaborate on impactful projects within the full-time research team, applying ML techniques to vast datasets and gaining mentorship. Candidates should be pursuing a PhD in related fields, have a strong publication record, and hands-on experience with machine learning frameworks like PyTorch and TensorFlow.