Transaction Monitoring Engineer

Contract details

• £600 per day, inside IR35
• Remote within the UK
• Initial 6 months

Description

We are seeking an experienced Quantexa Scenario Engineer to support the design, development, testing and optimisation of Transaction Monitoring and Financial Crime detection scenarios within a major Financial Crime Transformation programme.

This role is focused on the engineering, configuration and enhancement of transaction monitoring scenarios across the Quantexa platform. The successful candidate will combine strong Financial Crime domain expertise with hands-on technical capabilities, including Python development, data analysis and scenario performance testing. You will work closely with Financial Crime SMEs, Compliance, Data Engineering and Technology teams to deliver robust, scalable and effective monitoring solutions that meet regulatory requirements and business risk objectives.

Key Responsibilities

• Design, configure, develop and enhance Transaction Monitoring scenarios within the Quantexa platform.
• Engineer and implement risk-based detection rules, thresholds, scoring methodologies and segmentation frameworks.
• Develop and maintain scenario logic to identify suspicious activity patterns across customers, accounts and transactions.
• Perform hands-on scenario testing and analysis using Python, SQL and analytical tools to evaluate effectiveness and identify optimisation opportunities.
• Conduct back-testing, forward-testing, threshold calibration, sensitivity analysis, scenario benchmarking and alert quality assessments.
• Build Python-based analysis, validation and testing frameworks to support scenario development and performance monitoring.
• Analyse large datasets to identify trends, anomalies, behavioural patterns and monitoring gaps.
• Collaborate with Data Engineering teams to define, map and validate data requirements supporting financial crime detection.
• Translate Financial Crime and regulatory requirements into scalable technical solutions and scenario configurations.
• Support end-to-end delivery of scenario changes through development, testing, UAT, deployment and post-implementation validation.
• Contribute to model and scenario governance activities, including documentation, audit support and regulatory reviews.
• Optimise alert volumes while maintaining effective suspicious activity detection and regulatory compliance.
• Work closely with AML, Compliance, Risk, Operations and Technology stakeholders to continuously improve monitoring effectiveness.
• Support data lineage, data quality and data controls initiatives that underpin transaction monitoring capabilities.
• Provide subject matter expertise across AML, KYC, CDD, EDD, Sanctions Screening and Suspicious Activity Monitoring.

Required Skills & Experience

• Strong experience designing, developing and implementing Transaction Monitoring scenarios within Quantexa.
• Proven experience as a Scenario Engineer, Detection Engineer, Financial Crime Technology Consultant or Transaction Monitoring SME.
• Hands-on Python development for data analysis, scenario testing, performance validation, threshold optimisation, statistical analysis, and automated testing and reporting.
• Strong SQL skills and experience analysing large transactional datasets.
• Experience developing and tuning Transaction Monitoring scenarios, detection rules, risk scoring methodologies, segmentation frameworks and alerting logic.
• Experience conducting back-testing, threshold analysis, sensitivity testing and scenario effectiveness assessments.
• Strong understanding of Financial Crime controls and AML typologies.
• Knowledge of model and scenario governance frameworks and regulatory expectations.
• Experience with complex data models, data integration processes and data pipelines.
• Ability to translate business and regulatory requirements into technical solution designs.
• Experience collaborating with engineering teams through build, testing, deployment and production-support lifecycles.
• Strong knowledge of AML regulations, CDD, EDD, Sanctions, PEP Screening and SAR reporting obligations.
• Experience delivering solutions within large-scale Financial Crime Transformation programmes.
• Excellent stakeholder management and communication skills.
• Strong analytical, problem-solving and investigative abilities.
• Experience working within complex Banking, Financial Services or Payments environments.

Additional Desirable Experience

• Quantexa Decision Intelligence Platform.
• Spark, PySpark, Scala or big-data technologies.
• Cloud platforms: AWS, Azure or GCP.
• Machine learning techniques and anomaly-detection models.
• CI/CD pipelines and software engineering best practices.
• Regulatory remediation or Financial Crime enhancement programmes.