Job Title: Quantexa Tech Lead (Director)
Location: London (Hybrid)
£1000 - £1200 Day-rate (Inside IR35) |12 months
London
Our Big Four client is looking to hire a experienced and certified Quantexa specialist to join their Data & AI practice and it's fast-growing and strategic capability. They combine technical implementation with deep domain understanding to deliver high-impact solutions for their clients. Within this space, Quantexa plays a critical role.
Role Overview
We are looking for a Quantexa Tech Lead to lead the design and delivery of data-driven solutions using the Quantexa platform. You'll take ownership of end-to-end implementations, provide technical leadership, and work closely with stakeholders to deliver high-quality outcomes across complex data environments.
Key Responsibilities
* Lead full life cycle Quantexa implementations (design to production)
* Own Quantexa configurations including data ingestion, entity resolution, scoring, and network generation
* Act as the primary technical point of contact for stakeholders
* Run requirements workshops and translate needs into technical designs
* Support agile delivery, backlog grooming, and multiple use cases
* Perform code reviews and ensure best practice standards
* Mentor teams on Quantexa modelling, scoring, and performance tuning
* Integrate Quantexa within wider big data and cloud ecosystems
Required Skills & Experience
* Quantexa Technical Certification (mandatory)
* Proven end-to-end Quantexa delivery experience
* Strong knowledge of Entity Resolution, Scoring Framework, Network Generation, and UI configuration
* 5 -10 years' experience with Big Data technologies (Scala, Spark, Hadoop, Elasticsearch)
* Solid data modelling and analytics platform design experience
* Excellent stakeholder communication skills
* Experience with cloud platforms (AWS, Azure, or GCP)
Desirable
* Experience in Financial Services, Fraud, AML, or KYC use cases
* CI/CD, DevOps, Docker/Kubernetes exposure
* Knowledge of data governance, quality, and security
* Degree in Computer Science, Data Engineering, or similar