JPMorgan Asset Management – Data Scientist Lead Vice President 

Zambia, Central Province 

156008148

Job Responsibilities

• 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.

Required qualifications, capabilities and skills

• 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

Preferred qualifications, capabilities and skills

• 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