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Location: 

Zurich, Zurich, CH

Senior Data Scientist in Asset Management (80 - 100%)

 


About Swiss Re
 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About The Role
We are opening this role for data scientists with strong interpersonal and technical skills who are eager to learn and broaden their knowledge and expertise within the fast growing field of financial data science. For this position we invite people with a PhD or Master degree with 3-5 years of professional experience to apply.

 

In Particular, The Role Will Involve:

  • Generating business and investment insights through advanced analytical (statistical, machine learning and text mining) methods to answer business problems in Asset Management and potentially in different (Re-) Insurance domains.
  • Working closely with key members in Asset Management in identifying, analyzing and interpreting trends or patterns in complex financial data sets including but not limited to alternative data.
  • Current work stream of exposure might include the following:
    • Applying statistical and machine-learning methods for market and portfolio risk evaluation
    • Natural language processing techniques in a financial context
    • Traditional and alternative data analysis for investment opportunities identification
    • Development of asset management data corpus in close collaboration with the rest of the Swiss Re group

 

You are an ideal candidate if you have a solid background in computer science/engineering, mathematics, statistics, physics or any other computationally intense subject area and possess working experience in at least one of the following domains: statistical and machine learning, natural language processing, deep learning and information visualization. In addition, academic or industry experience in asset management, quantitative finance, fixed income analytics is desired.

 

Key Tasks:

  • Initiate, lead and drive financial data science projects from inception to completion.
  • Apply analytical methods and algorithms to build data products that streamline the process from data collection to insight generation.
  • Build up trusted relationships with key business and IT stakeholders to become a valuable partner for the field of data analytics.
  • Foster new data-driven approaches to generate business insights in order to address unanswered business problems that support investment decision making in a proactive way.
  • Validate, interpret and present data findings to both an expert and non-expert audience.
  • Assess viability of analytics usecases by means of functional prototypes or pilot solutions.
  • Ensure further development of Swiss Re's analytics capabilities in interplay with data engineers, solution architects and internal business specialists.

 

About The Team
With more than USD 120 bn of assets under management, Swiss Re Asset Management manages the assets generated through the core insurance and reinsurance business. The Smart Analytics team has a mission to prototype and deliver advanced analytics solutions using techniques ranging from statistical modelling to machine learning serving stakeholders across the Asset Management value chain. We are looking for passionate and driven individuals who wish to explore and apply the latest techniques in a financial context to support our investment process.

 

About You
Essentials

  • You have Master's or Ph.D. in a quantitative field: e.g., computer science, statistics, applied mathematics, physics, operational research, engineering.
  • 3-5 years of experience (in the industry or academic) in analytics (machine learning, statistics, data and text mining), preferably in a financial context (investment management, capital markets / investment banking, insurance).
  • Proficiency in Python and/or R, including the relevant statistical and machine learning packages. Knowledge of deep learning or distributed computation frameworks is a plus (Tensorflow, Pytorch, Spark).
  • Experience with writing neat and well documented code, using versioning tools (Git), unittests.
  • You have great analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems.
  • The willingness, ingenuity and business understanding of navigating through ambiguities, especially in prototyping process.
  • You are able to communicate complex analysis results in a clear, precise and meaningful manner.
  • A track-record in implementing business solutions in the area of information retrieval, natural language processing, data analytics and information visualization. Proficiency in relational databases/SQL.
  • Eager to try out new technologies.
  • Excellent verbal and written English skills.
  • Project management experience.

Nice to Have

  • Familiarity with extraction, transformation and loading of data from a variety of data sources using SQL and other 'big data' technologies e.g. Elastic Stack (Search, Logstash, Kibana), Apache (Kafka), Azure Cognitive Services.
  • Knowledge in optimization of information retrieval with a focus on Search and Indexing is a plus.
  • Experience in building scalable data pipelines/data engineering.
  • Abilities in DevOps and mindset towards micro-services (Docker, Kubernetes).
  • Behavioural Competences
  • Great teammate with a ‘can do’ attitude.
  • Willing to travel, also on short notice (maximum 10% per year).
  • Ability to work in an interdisciplinary and multi-cultural environment.
  • High degree of flexibility, independent and proactive working style.
  • Ability to work well under pressure and on multiple and conflicting priorities.
  • Strong dedication to quality and timely customer service.

 

We're looking forward to your application!

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Swiss Re offers modern work models and attractive work places that allow all employees to adapt to changing work preferences and life phases.


Keywords:  
Reference Code: 100876 

 


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