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Quantexa Senior Manager

Location: 

Aberdeen

Category:  T&D Data
Business Unit: 

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  

 

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