Asset Management
Asset management is marked by an evolving economic landscape, with interest rates maintained at a high level and elevated geopolitical risks. Active investment strategies, diversification, and risk management will play a crucial role in generating alpha and adapting to this dynamic context.
Asset Management
How to address the challenges related to the rise of sustainable investment (ESG), massive datafication, and the adoption of innovative technologies (AI) to remain competitive in an ever-changing landscape?
An industry confronting multiple challenges
Asset managers in Europe are at a turning point. On one hand, the evolving regulatory landscape and geopolitical turbulence pose challenges. On the other hand, the emergence of Generative AI (GenAI) and persistent questions about the direction and duration of an uncertain economic environment are generating risks.
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Adapting product offering and distribution models
How to reinforce the distribution channels (intermediary, direct, Blockchain..)
- Development of B2C with the emergence of blockchain technologies for the distribution of certain types of products (money market funds for corporate treasurers, real estate products..) through platform solutions (IZNES & Funds DLT)
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Getting to know clients better to enhance their experience
Providing new digital solutions to its clients
- Websites varying in completeness depending on the size of the asset manager.
- Solutions (extranet..) also offered to partners such as distributors, IFAs, or insurers to provide general and personalized information (news, performance, etc..)
Knowing ultimate investors and managing associated data
- Systems in place around product governance and exchanges with distributors allowing asset managers to better understand target markets
- CRM solutions allowing tracking of fundraising and sales activities
Accelerating innovation (digital, RPA, artificial intelligence)
- Integration of Fintech solutions at various levels of the asset manager’s value chain (portfolio construction, macro-economic analysis, task automation…)
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Optimizing operational model and integrating innovative technologies
Assessing the value chain / Focusing on core activities / Streamlining end-to-end processes
- Some maturity among major players in terms of industrializing front to back processes
- New processes to anticipate, notably in integrating ESG constraints in fund management and marketing
Establishing a Data Centric organization
- Data costs have skyrocketed in recent years
- Growing needs in terms of data to fuel more sophisticated and complex client & regulatory reporting
Adopting agile work methods and adjusting human capital
- New ways of working since COVID (Telecommuting…)
- Increasingly adopting agile project management to avoid tunnel effects
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Aligning with regulations
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Business strategy
Review strategic positioning and distribution models, perform client segmentation, develop partnerships and optimize revenue model
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Product range and distribution model
Rationalize of product range, market new thematic products, adapt and develop new distribution channels
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Client experience
Build seamless client journey and experience
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Operating models
Explore options to optimize operating models and streamline front-to-back processes
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Target IT architecture
Understand vendors market landscape, perform system selection (RFI / RFP), build target architecture, design implementation roadmap and migration strategy
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Compliance
Understand regulatory constraints, perform impact and gap analysis, implement remediation plan, perform audit