Asset Management – Data Scientist Lead – Vice President
JPMorgan Chase
- Central and Western District, Hong Kong
- Permanent
- Full-time
- Work with portfolio managers to understand sources of alpha and opportunities to improve decision-making process
- Build tools and systems to understand decision data, context and events around it to enhance JP Morgan Asset Management's decision attribution capabilities and systematically identify opportunities
- Work with partners in technology and user experience to build out tools providing real-time insights to portfolio managers and their teams
- Take part in projects along the full data science spectrum. From data acquisition and wrangling, to model selection to presentation and data visualization.
- Work as part of a globally distributed data science team.
- Masters Degree or PhD, in computer science, statistics, or other quantitative field
- Strong analytical/modelling skills and business orientation with proven ability to use data and analytics to drive business results; strong technical background
- Demonstrate solid experience working within a data science team, including Timeseries analysis and modelling; Training and fine-tuning of the Machine Learning model for investment models; Strong knowledge of Python for data scientists (e.g., pandas), traditional Machine Learning and deep learning libraries (e.g., scikit learn, xgboost, TensorFlow, Torch, etc.); Data manipulation languages (e.g., SQL); Data visualization / presentation skills (e.g., Tableau)
- Demonstrate experience working with engineering, developers and other technology teams - Writing production quality code, unit testing and familiarity with version control; Familiar with cloud-based technologies.
- Strong communications skills (both verbal and written) and the ability to present findings to a non-technical audience
- Passion for learning and adopting a wide range of techniques in an agile environment
- Prior experience working in alpha capture, performance attribution or trading / decision analytics role
- Front office experience in finance (preferably buy side)
- Familiarity in incorporating data into investment research
- Experience in using Snowflake and Snowpark
- CFA or equivalent