onsite
Quantitative Researcher - AI/ML - Anson Mccade
Software Engineer
Conduct AI‑driven quantitative research to develop and implement predictive models for global markets, leveraging Python, machine learning, and statistical techniques.
About the role
Key Responsibilities
- Design, develop, and back‑test machine‑learning models for asset‑price prediction and risk assessment.
- Collaborate with portfolio managers and other researchers to translate research ideas into production‑ready strategies.
- Perform large‑scale data extraction, cleaning, and analysis using Python, SQL, and market data APIs.
- Apply statistical and time‑series techniques to evaluate model performance and improve robustness.
- Document research findings, present results to stakeholders, and contribute to the firm’s knowledge base.
Requirements
- Strong programming skills in Python, with experience in libraries such as pandas, NumPy, scikit‑learn, or TensorFlow/PyTorch.
- Solid background in machine learning, statistical modeling, and quantitative finance.
- Proficiency in SQL and handling large, high‑frequency financial datasets.
- Demonstrated ability to develop, back‑test, and deploy predictive models in a research environment.
- Excellent analytical communication skills and a collaborative mindset.
Skills
pythonmachine learningdata analysissql