Quantitative Analyst – Applied Quantitative Solutions – ML-AI

Quantitative Analyst – Applied Quantitative Solutions – ML-AI

Requirements

• Advanced degree (MFE, MSc, PhD) in a mathematically robust discipline (e.g., econometrics, mathematical finance, statistics, or physics) or equivalent experience
• Demonstrable expertise in the application of AI/ML to financial markets, with a minimum of 7‐10 years of relevant experience; experience with LLMs is a plus
• Excellent systems and computer skills, including demonstrable expertise in quantitative programming languages (e.g., Python, Julia, or R)
• Strong consulting and relationship building skill set; ability to engage with engineers, investment professionals, and other partners; communicate in multiple formats/forums, and deliver solutions that address business needs
• Excellent analytical and problem-solving skills; enjoy solving challenging open-ended problems and incorporate the perspective of others when problem solving
• Excellent written and oral communication and interpersonal skills; ability to effectively interact with a diverse group of associates including Investment Group, Results Analysis and IT
• Ability to meet regular deadlines, demonstrate excellent attention to detail, and work well under tight time constraints, while balancing multiple priorities
• Ability to work independently, as well as part of a team in a highly collaborative environment
• Self-motivated, take initiative, and demonstrate commitment to continuously improve skills and self

Responsibilities

• Partner with QRA leadership to identify quantitative research and analytical priorities
• Use the latest advances in quantitative research, including AI/ML, to uncover valuable insight about complex investment questions
• Develop and maintain classical and new approaches to address previously unaddressed research questions
• Translate priorities into coherent approaches to resolve problems and manage problem statements from inception to completion
• Engage consistently with our technology partners and help develop computing environments to support research and research-driven processes in a collaborative research environment
• Work collaboratively with members of the Quantitative Research and Analytics Group in a rigorous peer-reviewed approach to quantitative research
• Communicate results and recommendations in a form that meets the needs of the listener

Preferred Qualifications

No preferred qualifications provided.