Asset Managers Prioritize Adaptability in New Hires

The push for adaptability extends beyond market shifts; it's a response to shrinking profits despite growing assets under management. While global AUM grew 12% to $119 trillion in 2023, industry profits fell by 8.1% due to rising costs and revenue pressure from the increasing popularity of passive funds. This economic pressure is accelerating the integration of AI for operational efficiency, risk management, and identifying investment opportunities. Firms like BlackRock utilize platforms such as Aladdin to process billions of data points for real-time analytics, demonstrating a deep industry commitment to AI. Consequently, recruiters now specifically seek graduates with a "curiosity for AI and mastering tech-enabled tools." The new ideal candidate profile blends technical and soft skills, a combination 73% of finance leaders find challenging to source. Demand is high for professionals who can interpret complex data, build financial models, and manage risk, but also communicate complex financial concepts in simple terms. Hiring criteria have fundamentally shifted, with firms now placing greater weight on strategic thinking, commercial judgment, and the ability to lead technological and process modernization. This has led to an increased use of data-driven hiring tools, with some companies employing personality and cognitive aptitude tests to better predict a candidate's on-the-job performance. Beyond a starting salary, top candidates are increasingly drawn to long-term growth potential. A survey of investment management professionals revealed that 62% would be strongly attracted to a new role by the prospect of career progression or a more senior title—more than in any other finance sector surveyed.