Nowcasting, Senior Analyst (m/f)

Industry:  Financial services, software 
Location:  Zurich, Switzerland
Employment Type:  Full-time (100%)    
Duration:  Permanent
Job Functions:  Statistical modeling

Job description

Move Digital AG is a Swiss-based  fintech firm that accompanies financial institutions on their path to digitalization. Founded in 2013, we operate from offices in the heart  of Zurich. With a team of over 40 professionals from more than 16 countries, we collaborate with partners across EMEA and Asia. Move offers a non-hierarchical, inclusive international working environment with many opportunities to take ownership in crafting a new definition of private banking.

At Move, you will become part of the dynamic, fast-paced environment of a growing Fintech company. From the first day, you are a member of an execution driven team and see the fruits of your work come to live almost instantly. 

We are looking for Fintech enthusiasts with strong analytical skillsets who are keen to explore the newest applications of nowcasting techniques in order to apply them in the context of financial investments. We seek a creative mind to lead the formalization of the nowcasting process into a statistical model which produces predictions without the need for informal judgement (departing from traditional heuristic approaches). 

Responsibilities

Your role at Move is to implement state-of-the-art statistical models to provide insights to the regular users of our investment advisory tools. Your tasks include:  

• Conduct macroeconomic research 


• Select and learn about relevant (macro)-economic variables (e.g. Economic Surprise / Uncertainty)


• Exploit information from a large quantity of data series (big data analysis on economic indicators, stock and derivative market data) 


• Collect an overview of different nowcasting methods (e.g. CFNAI, NIC, ADS etc) incl. regression methods (e.g. Midas, PCA etc)


• Develop novel nowcasting method based on state space / Kalman filter technique [1]


• Conduct sophisticated statistical modeling given inherent intra- and inter-serial correlation problems between different economic indicators at different frequencies and with different publication lags


• Develop early recommendations on computed estimates in relation to the real-time flow of data releases


• Illustrate developed frameworks on empirical examples / case studies within the context of investing 

[1] Aruoba, S.B., Diebold, F.X., and Scott, C. [2009].  “Real - Time Measurement of Business Conditions”, Journal of Business and Economic Statistics , 27, 417 – 427  (www.tandfonline.com/doi/abs/10.1198/jbes.2009.07205)

Profile

You enjoy explorative methods, think creatively and have a strong background in statistics to bring your ideas to live in sophisticated models and their applications. Who we are looking for: 

• Master or PHD in statistics / economics


• Previous work experience in similar or related project 


• Strong analytical skillset


• Experimental mindset with creativity to find novel solutions


• Fluency in English required, French or German a plus

About Move Digital AG 

Move builds high-performance wealth management solutions, covering the full investment value chain from the initial product idea to investment trading and beyond. We work with wealth managers to offer consumers easy access to a differentiated investment proposal that continuously transforms custom ideas into steady returns at lower risks. We deliver on this promise via a range of software-based products that collectively form a digital wealth management value chain.

Our team combines experts in economics, finance, investment products, systematic trading and risk management, with deep know-how in current digital technologies. We have a proprietary system but partner closely with professional wealth managers, regulators, and data and premium content providers in our quest to redefine the wealth management space. 

Our B2B clients are leading financial firms and wealth managers around the globe. Through our sister company Move Wealth Management, we also offer our services directly to end-consumers. Our solution has already been piloted successfully with international banks and is now positioned for growth. 

Contact

Do you have the right skill set and are you interested in working for Move? If so, we would like to hear from you. Please send us your CV and a short motivational letter explaining why you would like to join Move.

Please send your complete application by e-mail to:
talents@movedigital.ch 

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