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Senior Knowledge Graph Engineer (f/m)

LGT

 
LIE - Bendern
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Senior Knowledge Graph Engineer (f/m)
Senior Knowledge Graph Engineer (f/m)

Job Information

LGT goes digital - do you want to work in an international environment, work with semantic technologies and artificial
intelligence (AI) and actively shape and drive forward the digitalization of our company? Become a Senior Knowledge
Graph Engineer and apply now.

What can you expect?

In the course of our strategic corporate development and Data Management & Analytics initiative, we are looking for a
committed and talented Knowledge Graph Engineer (f/m), who is passionate about designing, developing and optimizing
LGTs Enterprise Knowledge Graph. Together in a young, highly motivated team and in cooperation with internal and
external partners, you will help to build the promising data infrastructure and knowledge base for intelligent data and
information management, reporting services and AI solutions based on LGTs Enterprise Knowledge Graph (EKG).

In this role you have the opportunity to work 100% in Bendern or 80% in Bendern and 20% in Zurich.

In this position, you will take on the following tasks:

- Work with Subject Matter Experts, Data Scientists, Data & IT Architects, DataOps Engineers and Software Engineers to
architect, design, develop, implement and deploy ontology-centric / graph-based systems within the realm of private
banking and asset management covering ontologies, reasoning engines, REST service oriented architecture,
ontology-driven UI and visualization and semantic middleware to integrate with legacy environments
- Converge the power of RDF/OWL ontologies and semantic graph database capabilities (e.g. reasoning, inferencing) with
graph visualization, traditional business intelligence technologies such as PowerBI, machine learning and natural
language processing in order to address LGTs business needs
- Assist, with the definition of, integration, mapping, migration, and conversion strategies for new and existing
knowledge content and data sources, including robust change control and versioning procedures
- Design and development of data pipelines at scale to build and interrogate knowledge graphs, using your expertise
with DataOps, Bamboo, Github, Python, etc.
- Research, evaluate, and recommend process improvements, including automated systems for knowledge capture,
transformation, and presentation of information
- Apply machine learning techniques to entity taxonomy construction, entity relationship inference, data
representation for downstream data consumers, insight extraction from graph, and interactive data acquisition from
users to validate our data
- Produce and maintain documentation for solutions developed

Requirements

- Bachelor degree or higher education in computer science, data science, software engineering or a comparable
discipline
- Longstanding expertise in building EKG-based solutions and analytics services, preferably in the banking environment
- Proficiency in semantic web standards, such as RDF, OWL, SKOS, FIBO and experience in validating and querying
semantic models using SPARQL, SHAQL
- Sound knowledge of application, data & infrastructure architecture and design patterns, software skills such as
business analysis, development, maintenance and software improvement
- Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring
- Advanced knowledge of data format standards as well as database management systems (e.g. SQL Server, Oracle, Graph
Databases such as Stardog)
- Ability to work independently and take ownership and accountability on assigned tasks driving execution through
completion
- Excellent problem-solving skills and an analytical aptitude with the ability to apply critical judgment coupled with
sound analysis and troubleshooting skills
- Of advantage are:

- Experience in program / project management, preferably in agile methods
- Experience in Graph Analytics, (ontology-based) NLP, Data Mining, training neural networks and deep learning systems
using knowledge graphs

Contact Information

We are looking forward to your online application.

LGT Financial Services AG
Corina Hohl
Human Resources
Telefon +423 235 15 55

Kontakt

Bitte bewerben Sie sich über unser Online-Formular.

Online Bewerbung

Corina Hohl

HR Manager
LGT Bank AG
Liechtenstein
+423 235 1555

LGT

Overall rating

3,0

Based on 1 reviews

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