The business problem is to develop data-centric solutions that enhance the firm's bottom line by applying quantitative, data science, and analytical skills to complex problems at a leading financial services firm.
Requirements
Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
Experience in the application of AI/ML to a relevant field
Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
Strong experience in natural language processing (NLP) and its applications
Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
Previous experience in working on Spark, Hive, and SQL
Financial service background
Responsibilities
Engaging with stakeholders and understanding business requirements
Developing AI/ML solutions to address impactful business needs
Working with other team members to productionize end-to-end AI/ML solutions
Engaging in research and development of innovative relevant solutions
Documenting developed AI/ML models to stakeholders
Coaching other AI/ML team members towards both personal and professional success
Collaborating with other teams across the firm to attain the mission and vision of the team and the firm
Other
Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
PhD in one of the above disciplines
Collaborating with other teams across the firm to attain the mission and vision of the team and the firm
Coaching other AI/ML team members towards both personal and professional success
Engaging with stakeholders and understanding business requirements
