Senior Graph Developer
Full job description
Morgan Stanley
Salary: £720 – £780 per day
We are looking for Senior Graph Developer to join a tier 1 investment bank for a 12-month contract (PAYE). Our client is a global market leader in investment banking, securities, investment management and wealth management services.
Our client has a requirement for a contingent/contract worker to assist their global team based in the London office. Throughout your contingent/contract assignment, you will be provided with a supportive and vibrant multinational environment, we accept individual differences and believe in collaborative team working.
Team profile:
The Data Centre of Excellence department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused graph developer / data scientist for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph – to solve complex business problems and deliver value to various business divisions. The team vision is a multi-year effort to simplify firms data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.
Primary Responsibilities:
Design, development and support of n-tier distributed applications
Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications
Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies Skills required:
Masters or advanced degree in Computer Science, Software Engineering or related field
6+ years of extensive experience designing and implementing large scale data pipelines, graph-based analytics and other AI/ML based solutions
Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
Desired Skills:
Data Modeling, Ontology development
Semantic and Graph Technologies – Graph DB / Triple Stores like Stardog, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing, Graph Visualization using components like D3
Experience building Chatbots and other analytics applications using AI, Machine Learning and Natural Language Processing (NLP)Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc.
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