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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