Discussion Points:
• Why traditional signal-based models aren’t enough
• The frameworks, structures, and mindset shifts required to embed decision science into the investment process
• What defines a great analyst in a decision science world? Beyond credentials—traits like probabilistic thinking, cognitive flexibility, and data curiosity
• Where discretion fits in, and how the firm ensures accountability and clarity in human-machine collaboration
• Frameworks for building a culture of structured thinking, analytical humility, and iterative learning