The business problem is to tackle complex problems and make a profound impact on the people, technologies, and projects across departments at the firm.
Requirements
- 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 programming languages, like Python, R, and C++
- Experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others
- 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
- 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
- Data wrangling, data analysis, and modeling
Other
- Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
- Master degree in Stats/Computer Science or relevant field with minimum 6 years of industry experience
- PhD in Stats/Computer Science or relevant field with minimum 4 years of experience
- 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
