Quantexa Senior Manager

KPMG International Cooperative; City Of London; On-site; GBP 110,000 - 150,000; Full time

Job summary

KPMG International Cooperative is seeking a Quantexa Tech Lead in London to drive end-to-end Quantexa implementations. You will own data ingestion, entity resolution, scoring and network generation, and mentor teams across pods to ensure scalable delivery of data-driven solutions.

You will engage with client stakeholders, run workshops, and translate requirements into robust Quantexa design artifacts, while maintaining best-practices across the SDLC and collaborating with cloud and data

Qualifications

• Proven experience delivering end-to-end Quantexa SDLC implementations.
• Quantexa certified or equivalent certification mandatory.
• Strong technical leadership capabilities and hands-on delivery experience.

Responsibilities

• Lead and deliver full lifecycle Quantexa implementations from requirements to 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 to gather requirements and translate them into Quantexa specifications.
• Mentor 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 to technical and non-technical stakeholders.

Skills

Quantexa

Technical leadership

Big Data

Stakeholder management

Cloud platforms

CI/CD pipelines

DevOps

Containerisation

Data modelling

Architectural design

Education

Degree in Computer Science or Data Engineering

Master's qualification (preferred)

Tools

Docker

Kubernetes

Apache Spark

Hadoop

ElasticSearch

AWS

Azure

Google Cloud Platform

Job description

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.

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., 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.

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.