LI-SG1
About the team:
Capco's Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client's business goals. As digital technologies advance and regulations tighten, today's consumers - and, therefore, today's businesses - are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting.
About the Job:
Financial services firms are increasingly turning to graph and semantic technologies to unlock value from complex, siloed data. These tools-powered by AI and knowledge graphs-enable deeper insights by linking structured and unstructured information in ways that are both human- and machine-readable. This role focuses on helping clients design and implement such solutions, while also growing Capco's Data Practice through thought leadership, talent development, and strategic partnerships. The ideal candidate will drive innovation, support business development, and stay ahead of emerging trends in semantic graph technologies.
What You'll Get to Do:
Design, develop, and maintain ontologies to support knowledge graph initiatives and enterprise data management
Work with stakeholders to define data relationships, taxonomies, and semantic models to enhance data interoperability
Implement and optimize knowledge graphs using technologies such as RDF, OWL, SPARQL, and graph databases (e.g., Neo4j, Stardog, or Amazon Neptune)
Collaborate with data scientists, engineers, and business teams to integrate ontologies into AI/ML models and enterprise applications
Ensure ontology alignment with industry standards (e.g., W3C, schema.org, FIBO) and evolving business requirements
Perform data modeling, entity resolution, and graph-based analytics to derive insights from structured and unstructured data
Develop and maintain documentation for ontology models, data dictionaries, and governance policies
Stay updated on advancements in graph technologies, semantic web, and linked data best practices
What You'll Bring with You:
Bachelor's or Master's degree in Computer Science, Information Science, Data Science, or a related field
2+ years of experience in ontology development, knowledge graphs, or semantic technologies
Graph and Semantic Data Consultants will require multi-disciplinary capabilities required to explain, design, and create powerful knowledge graph models - a good balance of business and technical understanding
Sound understanding of Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data
Awareness of the breadth of use cases for these technologies, prudent user interface design which exploit the power of graph and mitigates the challenges of visualizing graph data
Experience with some Graph/Triple Stores and related technologies, e.g. PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, Neo4j
Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career
Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies
Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction
Familiarity with mapping techniques, e.g. R2RML, for transforming relational/tabular datasets into triples
Understanding of ETL techniques and associated software
Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming
Understanding of data management and governance toolsets and methodologies
Programming skills: Python, Java, Javascript etc.
Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career
Why Capco?
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation.
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW.
We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees.
Ready to take the Next Step
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
US Pay Range
$88,000-$110,000 USD
Individuals seeking employment at Capco are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
