Vice President Artificial Intelligence /Machine Learning

The position you are applying for will involve serving as a thought leader, providing advice on optimal solutions, and assessing challenger models. You will be working on strategic projects across the firm, offering you the chance to make a significant impact on a large scale within a leading financial services firm. Your main responsibility will be to develop data-centric solutions that positively impact the firm's performance. As an Applied AI/ML Vice President in our dynamic team, your role will require you to apply your quantitative, data science, and analytical skills to address complex problems. Collaboration with various teams to design, develop, evaluate, and implement data science and analytical solutions is key, while maintaining a thorough understanding of the business problems at hand. Your tasks will also involve data wrangling, analysis, and modeling, including model selection and the development of efficient modeling solutions. Your responsibilities will include: - Engaging with stakeholders to comprehend business requirements - Developing AI/ML solutions to meet significant business needs - Collaborating with team members to implement end-to-end AI/ML solutions - Participating in research and development of innovative solutions - Mentoring other AI/ML team members for their personal and professional growth - Working with different teams to achieve the team and firm's mission and vision Required qualifications, capabilities, and skills: - Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) - Experience in applying AI/ML to a relevant field - Demonstrated practical experience in machine learning techniques including supervised, unsupervised, and semi-supervised learning - Strong expertise in natural language processing (NLP) and its applications - Proficiency in programming languages like Python, R, and C++, and experience with libraries such as Tensorflow, Keras, Pytorch, Scikit-learn, or others for specific projects - Previous experience working with Spark, Hive, and SQL Preferred qualifications, capabilities, and skills: - Background in financial services - PhD in one of the above disciplines,