Tackle complex problems using quantitative, data science, and analytical skills, and design, develop, evaluate, and execute data science and analytical solutions.
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++, 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
Responsibilities
- 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
- Data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions
Other
- Engaging with stakeholders and understanding business requirements
- 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
- Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
- Financial service background
