Quantexa Senior Manager- Tech Lead (London)

Job description

Job Title: Senior Manager- (Quantexa) Tech Lead Service Line: Data & AI – KPMG At KPMG, our Data & AI practice is a fast-growing and strategic capability. We combine technical implementation with deep domain understanding to deliver high-impact solutions for our clients. Within this space, Quantexa plays a critical role in enabling advanced entity resolution, network generation, and contextual analytics across complex data ecosystems. The Role – Quantexa Tech Lead We are seeking a Quantexa Tech Lead to join our growing team and play a key role in the delivery of data-driven solutions using the Quantexa platform. The ideal candidate will be Quantexa certified, have hands-on experience delivering end-to-end implementations, and bring strong technical leadership capabilities. This role will involve direct engagement with client stakeholders, technical teams, and business SMEs to ensure successful solution delivery, with a particular focus on Quantexa architecture, design, and integration. Key Responsibilities: 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 sessions and support agile delivery across multiple pods/use cases. Perform technical code reviews and ensure adherence to best practices across the implementation. Mentor and guide development teams in 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 and effectively to both technical and non-technical stakeholders. Required Skills & Experience: Quantexa Technical Certification is mandatory. Proven experience in end-to-end Quantexa SDLC implementations, including design, build, testing, and deployment. Deep understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of 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 such as AWS, Azure, or Google Cloud Platform (GCP). Preferred Qualifications: Experience delivering Quantexa in Financial Services, Fraud, AML, or KYC use cases. Familiarity with CI/CD pipelines, DevOps 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. Why Join Us? As part of our rapidly growing Data & AI team, you’ll have the opportunity to work on cutting-edge Quantexa projects, helping clients unlock the full value of contextual data. You’ll also be part of a collaborative team that values innovation, continuous learning, and technical excellence #LI-AP1