Quant Research Custody & Funds service
The primary responsibilities for this role will include :
- Perform large-scale analysis on our proprietary dataset to solve problems never tackled before
- Identify new insights that drive feature modelling to generate nuanced insights
- Build models end-to-end, from prototype to full-scale production
- Make real-world, commercial recommendations through effective presentations to various stakeholders
- Leverages data visualization to communicate data insights and results
- Document and test new/existing models in partnership with control groups
- Implementation of models in Python-based proprietary libraries.
- Ongoing desk support
Essential Skills :- The role requires a combination of a structured approach to problem solving, a can-do mind set to data analysis and to work in a dynamic environment. Excellent communication skills are essential.
Key Qualifications :- A master's or Ph.D degree program in computer science, statistics, operations research or other quantitative fields
- Strong technical skills in data manipulation, extraction and analysis
- Fundamental understanding of statistics, optimization and machine learning methodologies
- Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala
- Previous practical experience in solving machine learning problems using open-source packages
- Participation in KDD/Kaggle competition or contribution to GitHub highly desirable
- Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience