Robo Advisory

Dr. Matthias Hirtschulz

Dr. Matthias Hirtschulz

Ansprechpartner next@d-fine.com

Robo-Advisory is one of the hottest topics in FinTech innovation. The goal is a fully digital user-friendly, automated and transparent user experience for investing.

Initially emerging as a disruptive start-up technology, this new form of digital investment advice is about to become a key service component of banks and asset managers alike. 

In the years ahead, Robo Advisory will change the landscape of asset and wealth management profoundly. We are convinced that now is the right time to get involved, manage this change and gain an edge.

Evolution of Robo Advisory offerings

With a continuous stream of newly formed start-ups and the market entrance of well-established players, a smart differentiation and a well-planned targeting of specific customer segments is becoming an essential ingredient for long-term success in the market.

Our Robo Advisory Solutions

With more than 15 years of cutting edge consulting in the risk, asset and wealth management industry as well as a rapidly growing network of FinTech expertise, we are best positioned to help you at all stages of your road to digital wealth management:

  • From market analysis to product definition
  • From make or buy decision to implementation and integration
  • From benchmarking your ideas and models to putting them into practice 

Our integrated approach combines business analysis, planning, project management, IT design and programming, as well as testing and validation.

Business Case

  • Market analysis and future trends
  • Scoping of a digital advisory offering
  • Assessing regulatory and licensing requirements (KWG, MiFID II, PRIIPs, etc.)
  • White labelling strategy and vendor selection

 

  

Product Development

  • Definition of the value proposition and differentiation of customer segments
  • Selection of allocation models and algorithms, asset classes, as well as add-on offerings
  • Portfolio insurance techniques from classical overlay-management to modern risk budgeting

 

Implementation

  • Design of the IT infrastructure (front-, middle-, and back-end)
  • Design, development and validation of quantitative models (leveraging our proprietary quant asset management library from scenario generation to asset allocation, portfolio strategies and risk management)
  • Integration of external platforms including definition of interfaces and processes

 

  

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