At a Glance
- Tasks: Lead full lifecycle Quantexa implementations and manage specific configurations.
- Company: Join a collaborative team focused on innovation and technical excellence.
- Benefits: Work on cutting-edge projects with opportunities for continuous learning.
- Other info: Ideal for those passionate about Big Data and mentoring development teams.
- Why this job: Make a real impact by unlocking contextual data value for clients.
- Qualifications: Quantexa certification and experience in end-to-end SDLC implementations required.
The predicted salary is between 70000 - 90000 £ per year.
Role Overview Lead and deliver full lifecycle Quantexa implementations—from requirement gathering to design, development, and production deployment.
Own and manage use‑case specific Quantexa configurations, including data ingestion, entity resolution, scoring, and network generation.
Serve as the primary technical interface between client stakeholders and the delivery team.
Conduct workshops and technical sessions to gather requirements and translate them into Quantexa design artifacts and specifications.
Facilitate backlog grooming and support agile delivery across multiple pods/use cases.
Perform technical code reviews and ensure adherence to best practices.
Mentor and guide development teams on Quantexa data modelling, scoring logic, and performance tuning.
Collaborate with architects and data engineers to integrate Quantexa into broader Big Data ecosystems.
Communicate complex technical solutions clearly to both technical and non‑technical stakeholders.
Responsibilities Lead and deliver full lifecycle Quantexa implementations.
Own and manage use‑case specific Quantexa configurations.
Serve as primary technical interface between client stakeholders and delivery team.
Conduct workshops and technical sessions to gather requirements.
Translate requirements into Quantexa design artifacts and specifications.
Facilitate backlog grooming and support agile delivery across multiple pods/use cases.
Perform technical code reviews and ensure best practices.
Mentor and guide development teams on data modelling, scoring logic, and performance tuning.
Collaborate with architects and data engineers to integrate Quantexa into broader Big Data ecosystems.
Communicate complex technical solutions clearly to both technical and non‑technical stakeholders.
Qualifications Quantexa Technical Certification is mandatory.
Proven experience in end‑to‑end Quantexa SDLC implementations (design, build, testing, deployment).
Deep understanding of Quantexa components: Entity Resolution (ER), Scoring Framework, Contextual Network Generation, UI, Configuration.
Strong background in Big Data technologies: Scala, Apache Spark, Hadoop, Elastic Search.
Experience with data modelling and design for large‑scale analytics platforms.
Strong stakeholder management and communication skills, capable of interfacing with both business and technical audiences.
Ability to produce and present technical design artifacts aligned to Quantexa architecture.
Good working knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform (GCP).
Experience delivering Quantexa solutions in Financial Services, Fraud, AML, or KYC use cases.
Familiarity with CI/CD pipelines, Dev Ops practices, and containerisation technologies (Docker/Kubernetes).
Knowledge of data governance, data quality, and security best practices within enterprise data platforms.
Degree or Master’s qualification in Computer Science, Data Engineering, or related field.
Benefits Opportunity to work on cutting‑edge Quantexa projects that unlock contextual data value for clients.
Collaborative team that values innovation, continuous learning, and technical excellence. #J-18808-Ljbffr
Contact Details:
KPMG International Cooperative Recruitment Team
