Are you passionate about transforming research through advanced AI and data science? Join our team to lead the development and implementation of innovative strategies that enhance research methodologies and outputs. As an AI and Data Science Lead, you will collaborate with global teams, drive workflow automation, and shape the future of financial research. If you thrive in a dynamic environment and excel at communicating complex concepts, this is the role for you.

Job responsibilities

Lead the development and implementation of AI and data science strategies to enhance research methodologies and outputs. Implement workflow automation for global research teams leveraging AI techniques, including Large Language Models. Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. Ensure the integrity, accuracy, and accessibility of data used for analysis. Stay abreast of industry trends and advancements in AI and data science, evaluating new technologies for potential adoption. Foster a culture of innovation and excellence within a team of data scientists and analysts. Communicate complex analytical concepts and results effectively to senior management and non-technical stakeholders.

Required qualifications, capabilities, and skills

3+ years of experience working with AI and data science in the financial sector. Bachelor’s degree or higher in Engineering, Data Science, or related fields. Excellent communication, presentation, interpersonal, and organizational skills. Detail-oriented, with a disciplined approach to process and controls. Ability to manage relationships with external vendors and partners effectively. Strong leadership skills and experience working in cross-functional teams. Deep understanding of financial data and research methodologies.

Preferred qualifications, capabilities, and skills

Experience with Large Language Models and advanced AI techniques. Proven track record of driving workflow automation in research environments. Familiarity with regulatory requirements and ethical standards related to data use and model governance. Experience managing relationships with external data vendors and technology partners.