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With robo-advisors and regulation eventually changing the market conditions of thefinancial advisory industry, traditional advisors will have to adapt to a new world of asset management. Thus, it will be of interest to traditional advisors to further explore the topic of how to automatically evaluate soft aspects such as client preferences and behavior, and transform it into portfolio allocations while retaining stringency and high quality in the process. In this thesis, we show how client preferences and behavioral aspects can be translated into quantitative parameters, suitable for an asset allocation model based on prospect theory. A risk profiler, a type of questionnaire, is found to be an appropriate tool to use in this process. Further, we show that the impact of the parameters on the resulting portfolio allocations is consistent with prospect theory and the preferences of the investor. Finally, we conclude that the optimized portfolio allocation generated by the model suit the investor's preferences. / Allteftersom robotrådgivning och regleringar förändrar marknadsvillkoren för finansiellrådgivning kommer traditionella aktörer behöva anpassa sig till helt nya förutsättningar. Därmed är det av intresse för traditionella rådgivare att ytterligare undersöka hur man automatiskt kan utvärdera mjuka faktorer, såsom kunders preferenser och beteende, och omvandla dem till portföljallokeringar samtidigt som man bibehåller stringens och hög kvalitet i processen. I denna avhandling visar vi hur kundpreferenser och beteendemässiga aspekter kan översättas till kvantitativa parametrar för en allokeringsmodell baserad på prospektteori. En riskprofilerare, en typ av frågeformulär, visar sig vara ett bra verktyg att använda i processen. Vidare visas att parametrarnas effekt på de resulterande portföljerna är förenliga med prospektteori och investerarens preferenser. Slutligen drar vi slutsatsen att den optimerade allokeringen passar investerarens preferenser.

Bakgrund: Bakgrunden presenterar digitaliseringens utveckling och jämför det med media som tidigare varit analogt. Därefter redogörs för utvecklingen av automatiserade finansiella rådgivare och de utvecklingsstadier det genomgått. I samband med utvecklingen påträffas olika aspekter hos unga småsparare som påverkar förtroendet som övergången från att använda mänskliga finansiella rådgivare till robotrådgivare. Syftet: Syftet med uppsatsen är att undersöka hur företag inom fondförsäljning och aktiemäklarbanker kan nyttja robotrådgivningstjänster bland unga småsparare. Undersökningen fokuserar främst på aspekterna informationsspridning och riskupplevelse.  Teoretisk referensram: Denna studie utgår från tre olika teorier, vilka omfattar Unified theory of acceptance and use of technology, Theory of perceived risk och Innovation Diffusion Theory. Metod: Studien utför en kvantitativ ansats genom en tvärsnittsdesign. Urvalsramen inkluderar unga vuxna som är 18 till 30 år. Datainsamlingen genomfördes via sociala medier och skolplattformar, och totalt deltog 151 unga högskolestudenter i enkätundersökningen.  Slutsats: Utifrån resultaten förekommer det en positiv korrelation mellan användningen och riskupplevelsen, vilket gör att robotrådgivare har en möjlighet att attrahera unga vuxna till segmentet.

While FinTech is a relatively recent subject in academic literature, it is widely acknowledged as one of the most notable innovations within the financial industry. Despite the growing interest in FinTech, there is currently a lack of comprehensive understanding regarding the exact implications it will have on established financial institutions. The introduction of FinTech solutions has brought about a significant transformation in the banking industry of Finland. Nevertheless, the influence of FinTech adoption on employee’s satisfaction and performance in banks remains uncertain. This has emphasized the need for a deeper understanding of the opportunities and challenges presented by this form of technological innovation across all aspects of the financial industry. The purpose of this research is to bridge the existing gap in literature by examining the relatively unexplored area of how the adoption of FinTech solutions influences job satisfaction and performance among employees in the context of a Finnish bank. Specifically, this research centered on OP Bank, which is recognized as one of the largest banks in Finland. By conducting an in-depth exploration of the experiences of employees at OP Bank, this research will offer valuable insights into how the adoption of FinTech solutions influences employee’s behavior in the Finnish banking industry. To accomplish this, the study utilizes a qualitative exploratory research approach, employing semi-structured interviews as the data collection method, involving 8 middle-level employees from OP Bank. This methodology facilitates a deeper understanding of employees' experiences and perspectives, thereby generating rich and detailed data. The findings of our research reveal several key conclusions regarding the varying ways that the adoption of FinTech solutions influences employee’s job satisfaction and performance. The insights gained highlight the crucial role of FinTech in transforming traditional banking practices, driving innovation, and fostering a positive work environment for employees in the financial industry. Understanding the complexities linked to FinTech adoption is imperative for banks and financial institutions to effectively leverage the complete potential of these technological innovations, thereby steering employee’s satisfaction and performance in the desired direction. Through an in-depth examination of this phenomenon, we have gained a better understanding of the benefits and challenges associated with FinTech adoption, as well as its influence on employee’s job satisfaction and performance. Moreover, this study has provided crucial insights for improving employee’s satisfaction and performance in banks that have embraced FinTech solutions, thereby contributing to a deeper understanding of successful FinTech adoption in the Finnish financial industry. Additionally, this research has contributed to the existing literature on FinTech, management of employee’s satisfaction and performance, employee behavior and technology adoption. These findings have offered practical theoretical, managerial and societal contributions.