Teya seeks a Senior Engineering Manager to serve as the technical owner for our fraud and AML monitoring capabilities. You will lead the build, optimization, and scaling of the detection systems, rule engines, behavioural signals, and data flows that protect the Teya ecosystem.
What You'll Do
- Act as the technical lead for the fraud & AML rules engine, risk scoring logic, and behavioural monitoring pipeline.
- Design and improve event flows, data schemas, triggers, and scoring components used for detection.
- Work closely with engineering to implement scalable and low-latency monitoring logic in production.
- Lead analysts in designing and refining technical detection rules.
- Translate risk appetite into robust, efficient, and data-backed rules.
- Create testing frameworks, simulation tools, and regression checks for rules before deployment.
- Measure rule performance with clear metrics like latency, false positives, and precision.
- Partner with data scientists to integrate ML-based risk scores and anomaly detectors into the rule engine.
- Define how risk signals are weighted, aggregated, or combined with deterministic rules.
- Ensure models and rules work coherently within the monitoring architecture.
- Work with platform and backend engineers to improve system reliability and automation for alert pipelines, rule execution, and data ingestion.
- Define data requirements for fraud/AML systems and lead investigations into data discrepancies.
- Partner with data engineering to ensure the pipeline is fit for detection logic.
- Manage a small team of technical analysts responsible for rules design.
- Work with the Head of First Line Risk to prioritise work and align on roadmap.
- Build a strong engineering mindset in the fraud monitoring team.
What We're Looking For
- 6+ years in fraud/risk engineering, data engineering for fraud, or technical fraud/risk analytics.
- Hands-on experience designing or maintaining fraud/AML rules engines, transaction monitoring systems, or risk scoring pipelines.
- Strong SQL skills and familiarity with distributed data systems like Snowflake, BigQuery, or Redshift.
- Understanding of event-driven architectures, stream processing, and real-time detection.
- Ability to work with engineering teams on API flows, backend logic, and alerting infrastructure.
- Deep understanding of fraud typologies.
- Good understanding of AML detection logic.
- Experience interpreting model outputs and integrating risk signals into systems.
- Experience managing technical teams.
- Ability to convert complex detection problems into clear engineering requirements.
- Strong communication skills for working with engineers, data scientists, and risk leadership.
Nice to Have
- Experience with fraud/risk platforms like Feedzai, Featurespace, Ravelin, Actimize, or Alloy.
- Familiarity with microservices architecture and rule evaluation engines.
- Python experience for data analysis or prototype rule testing.
- Prior experience in merchant acquiring, high-velocity payments, or embedded finance.
Technical Stack
- SQL
- Snowflake, BigQuery, Redshift
- Kafka, Pub/Sub, Flink
- Python
Team & Environment
You will manage a small team of technical analysts and work closely with Data Engineering, Risk Analytics, Product, Data Science, and Platform Engineering. This role reports to the Head of First Line Risk.
Benefits & Compensation
- Flexible working hours
- Health Insurance
- Meal Allowance
- 25 days of Annual leave (+ Bank holidays)
- Public Transportation Card
- Frequent team events & activities
- Office snacks every day
- Friendly, comfortable and informal office environment
Work Mode
This role follows a hybrid work mode.
Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
