Quantexa Tech Lead (Director)

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