Graph Architect/Developer

Position Summary

Responsibilities:

• Creating multiple graph environments to draw visualisations and extract data efficiently
• Applying Learning Machine algorithms to monitor changes in the graph and report risk scoring/alerts updates
• Time-lining the data into the graph and an ‘event’ view of policies/the book
• Improving company’s entity resolution process in the graph- would be great some interesting ideas about how to take imperfect graph data and drive a multi-factor/assignment of identity that might help reduce duplication (e.g. when someone changes a DOB or DL#)
• Enabling mass scaling and simplifying addition of/changes to the graph in a production environment – speed to add nodes/features, speed to load/change, speed to analysis, speed to reporting
• Providing user-friendly analytical tools, that provide users with the ability to model risk scenarios, discern ‘how common’ they are, and report back quickly
• Fuses structured & graph data into a useful event and transaction-level reporting at policy & book level
• Supporting efforts to ‘game-ify’ idFusion and the graph toolkit to make it more user-appealing/interesting

Essential Requirements:

• Strong experience of several major technology implementation projects
• Strong data orientation and experience in data analysis and data mining 
• Experience in creating, contributing to and reviewing Architecture and Development artefacts
• Ability to understand, communicate and operate at Business, Technical, Application and Technology levels of Data and Information Architecture
• Assist with the definition and documentation of current state and future state Information Architecture models
• Assist with the definition, communication and implementation of data policies, standards and processes
• Collaborate and design conceptual and logical data models and supporting the physicalisation of the models to support the target state architecture
• Develop, own and manage the data modelling best practices, patterns and standards
• Ensure appropriate enterprise data/information policies, principles and standards are adhered to and implemented throughout project delivery

Qualifications/Skills:

• Educated to degree level, or with appropriate career experience
• Demonstrate the ability to drive result in a fast pace of change and challenging environments
• Ability to work independently, taking a leadership role on specific efforts
• Ability to multi-task, moving easily between strategy and execution
• Strong verbal and written communication skills – must be able to synthesise data into concise messages for leadership
• Excellent analytical & problem-solving skills
• Outstanding attention to detail, follow-up skills and results-orientation