Vice President Artificial Intelligence /Machine Learning
The position will serve as a thought leader including advising on optimal solutions and opining on challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.
As an Applied AI/ML Vice President within our dynamic team, 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
- 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
Required qualifications, capabilities, and skills
- 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 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 disciplines
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