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Zurich, Zurich, CH

Data Engineer in Asset Management - Zurich


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 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. With the advent of technologies such as cognitive computing, smart analytics or machine learning the reinsurance area will radically change in the next years in terms of distribution, underwriting and administration of insurance protection. As a recognized leader in the industry, Swiss Re is running numerous use cases and is building up research and development units utilizing state of the art digital analytics to offer actionable research and transformational opportunities.


Asset Management IT ensures stable investment platforms and trade lifecycle management while delivering meaningful, timely financial data, enabling our customers to support AM's overall business performance. It also expands business processes automation and efficiency across the value chain through workflow solutions and robotics development.

About The Role

As Data Engineer in Asset Management, you will be working on key functional and technology initiatives leveraging cutting edge data, cloud and integration technologies. You will be involved in designing and developing end to end applications, dealing with database, client side and server-side components, and basic UI and integration of applications while working with some of the brightest and smartest people who are set to make an impact to Asset Management. This role can be based in NYC, London or Zurich. 


The ideal person will be someone who can both operate strategically and deliver tactical outcomes in complex projects, working side-by-side with our data scientists and other technology professionals. This person will have a broad understanding of multiple programming concepts, Agile methodology, and have proven him/herself leading development team in designing modern systems in multiple complex IT projects within the SDLC.

  • Work with stakeholders and product, design, data scientist, quant, back-end, and front-end engineers
  • Align with business value streams and collaborate with the analytics squads on use-case design and delivery

Help define and improve our standards for a maintainable, modular, and healthy code base for both the frontend and backend

  • Evaluate and advocate for improvements in product design, quality, performance, and security
  • Solve technical problems of various levels of complexity
  • Take ownership of code and confidently ship features, bug fixes, and improvements with support from other team members when needed
  • Stay on top of emerging trends and help the organization in making informed technology decisions

This position demands an ability to problem solve, prioritize, and communicate proactively. The ideal candidate will have experience working backwards from the product design to understand the true requirements underlying feature requests.


About You

  • Minimum 5+ years of work experience in an agile digital product development environment and BSc. or MBA/MS/PhD in computer science, engineering, information technology
  • Minimum 5-8 years of work experience building digital products and/or enterprise level web application in an agile software development framework
  • Understanding of the Asset Management value chain and various products such as equities, fixed income, derivatives, private equity, private debt, and real estate
  • Experience building front end applications using Angular/React and other JavaScript frameworks
  • Experience building micro-services using Spring Boot, Node.JS, Spring Cloud etc.
  • Must demonstrate ability to design solutions in a multi-tier architecture, including database with UI components
  • Hands on experience in building applications for cloud platforms (Azure, AWS, GCP etc.) Azure preferred.
  • Have a good understanding of various integration patterns, REST protocols, and familiar with XML, JSON
  • Experience in multiple databases and understanding of traditional SQL and unstructured data repositories (experience with Elastic Search and MongoDB is considered a plus)
  • Proficiency in scripting languages (Python, PySpark)
  • Experience in workflow automation tools (K2, Power Automate) and business intelligence platforms (Power BI, Tableau)
  • Demonstrate familiarity with Continuous Integration and Continuous Deployment concepts along-with necessary tools like Puppet, Chef, VSTS, Maven, Jenkins, JIRA etc.
  • Experience guiding development teams, in a high availability, high performance and cloud environment
  • Keen interest in the whole spectrum of data science (data engineering, modelling and visualization)


Advantageous Additional Skills


  • Experience working with varied forms of data infrastructure inclusive of relational databases (MS SQL, Oracle DB, PostgreSQL) and non-relational (Hadoop HDFS, Mongo DB) is considered a plus
  • Experience with Big Data frameworks (Elasticsearch, Spark, Kafka) is considered a plus


Behavioral Competences

  • Great team player with a ‘can do’ attitude
  • Ability to navigate through ambiguity
  • 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 initiatives
  • Strong dedication to quality and timely customer service

Reference Code: 101970 


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