Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As an Applied AI/ML Vice President within Asset and Wealth Management, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions. 

Job responsibilities 

Engages with stakeholders and understanding business requirements, Develops AI/ML solutions to address impactful business needs, Works with other team members to productionize end-to-end AI/ML solutions, Engages in research and development of innovative relevant solutions, Coaches other AI/ML team members towards both personal and professional success, Collaborates with other teams across the firm to attain the mission and vision of the team and the firm 

Required qualifications, capabilities, and skills 

Formal training or certification on software engineering concepts and 5+ years applied experienceAdvanced 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 fieldDemonstrated 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, Preferred qualifications, capabilities, and skills • Financial service background PhD in one of the above discipline