Ravelin Technology

www.ravelin.com

2 Jobs

142 Employees

About the Company

AI-native fraud prevention company Ravelin provides sophisticated technology and dedicated support to help online businesses block advanced fraud threats and accept payments with confidence.

Listed Jobs

Company Name: Ravelin Technology
Job Title: Data Scientist (Mid level)
Job Description: **Job Title:** Data Scientist (Mid Level) **Role Summary** Mid‑level Data Scientist responsible for training, deploying, debugging, and evaluating real‑time fraud detection models. Works within a model‑engineering team to maintain strict SLA of <300 ms predictions while iterating on model performance and feature pipelines. **Expectations** - Deliver robust, production‑ready ML models that adapt to new fraud tactics. - Balance research initiatives with incremental, safe improvements. - Mentor junior team members and collaborate cross‑functionally with engineering, data engineering, and client support. - Communicate technical findings clearly to both technical and non‑technical stakeholders. **Key Responsibilities** 1. Build and maintain model evaluation, training, and deployment infrastructure using Python (NumPy, pandas, scikit‑learn). 2. Develop and deploy new fraud detection models, ensuring compliance with 300 ms SLA. 3. Add new production features and optimize existing pipelines. 4. Research and prototype advanced techniques to counter evolving fraud behaviors. 5. Investigate model performance deviations, applying debugging and analytical techniques. 6. Mentor junior data scientists and promote best engineering practices. **Required Skills** - Proficiency in Python data stack (NumPy, pandas, scikit‑learn). - Strong understanding of software engineering practices: version control, unit testing, code reviews, CI/CD. - Analytical mindset with experience debugging ML models. - Effective cross‑team collaboration and communication skills. - Ability to prioritize and manage multiple workload items. - Comfortable working in hybrid (remote/onsite) environments. **Nice to Have** - Docker, Kubernetes, and ML production infrastructure experience. - TensorFlow / deep learning knowledge. - dbt usage, and familiarity with Go, C++, Java, or similar systems languages. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - Professional certifications in machine learning or data engineering are advantageous but not mandatory.

London, United kingdom

Hybrid

Mid level

08-01-2026

Company Name: Ravelin Technology
Job Title: Integration Engineer - 12 month FTC
Job Description: **Job Title:** Integration Engineer (12‑month FTC) **Role Summary:** Provide end‑to‑end integration support for Ravelin’s fraud‑prevention clients, ensuring seamless data flow between client systems and Ravelin’s platform within a 12‑month maternity cover period. **Expectations:** - Rapid onboarding and immediate contribution. - Act as the primary liaison between clients, data science, engineering, and product teams. - Deliver high‑quality integrations that meet performance and data‑quality standards. **Key Responsibilities:** - Guide clients through the integration process from kickoff to go‑live. - Map and document client payment flows and highlight relevant product features. - Perform data quality checks, wrangling, and validation throughout integration. - Maintain proactive client communication and expectation management. - Collaborate with Data Scientists, Data Engineers, and Product teams to select optimal integration approaches. - Resolve integration challenges between disparate systems. - Document integration methods and detailed specifications for organizational knowledge sharing. - Build deep knowledge of Ravelin’s products and systems. **Required Skills:** - Strong SQL/BigQuery data analysis. - Comfortable designing and explaining RESTful API usage. - Knowledge of HTTP, JSON, web and server technologies. - Experience with SDKs and scripting (Bash, Python) preferred. - Excellent client relationship building and clear communication. - Detail‑oriented, tenacious, and self‑motivated with high dependability. - Strong documentation capabilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).

London, United kingdom

Hybrid

13-01-2026