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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AML regulation and transaction monitoring, with strong analytical skills in SQL and data visualization tools. Capable of developing and validating detection rules and machine learning models while driving process improvements in a fast-paced environment.
Highest-signal resume keywords
AML Regulation KnowledgeSQL ProficiencyData Analytics ExperienceMachine Learning Model ValidationTransaction Monitoring Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData AnalyticsMachine LearningBack-TestingDetection-Rule TestingPythonAutomation ScriptingEvidence-Based ThinkingAttention to DetailFinancial Crime Analysis
Soft Skills
Independent WorkStructured ThinkingPresentation SkillsProcess Improvement
Tools & Technologies
DatabricksMetabasePower BI
Industry Keywords
Second Line of DefenceTransaction MonitoringFintechNeobankPayment InstitutionMoney Laundering TypologiesCDD Risk EnginesFalse PositivesFalse NegativesMule Accounts
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Identify financial-crime behaviour missed by Transaction Monitoring controls
- Turn confirmed anomalies into documented scenarios in Finom's FinCrime Scenarios Library
- Analyse police, partner, industry typology, anomaly-report, and model-output sources
- Design mitigation measures with the AML Risk Manager, including new rules, threshold changes, and model features
- Back-test rules on historical data and measure alert volume, hit rate, and false positives
- Prepare rule specifications, test results, and acceptance criteria, and work with Engineering on deployment
- Monitor live rules, tuning, escalating, or retiring them when precision or alert volume drifts
- Validate internally developed Machine Learning models before production and monitor their live performance
- Maintain the FinCrime Scenarios Library and report control coverage and false negative rate
- Improve Transaction Monitoring and CDD Risk Engines
- Develop training materials for Transaction Monitoring and Quality Assurance teams
- Drive departmental process improvements and draft or review financial-crime system requirements
- Initiate and own ad hoc departmental projects
- Present findings and recommendations to Product, Engineering, Operations, and other colleagues
Requirements
What you’ll need- Minimum 2 years in the Second Line of Defence at a regulated financial institution, or 3 years in Transaction Monitoring in a senior role or a Process Owner role
- Thorough knowledge of AML regulation and money laundering typologies in transaction data, including mule accounts, layering through fast pass-through payments, structuring, and misuse of business accounts
- Confident, hands-on SQL, including joins across large transaction tables
- Experience with data analytics and visualisation tools such as Databricks, Metabase or Power BI
- Understanding of detection-rule testing and measurement, including false positives, false negatives, hit rate, precision, recall, and back-testing
- Structured, evidence-based thinking and attention to detail
- Ability to work independently with little supervision in a fast-moving start-up environment
- Practical use of AI tools in investigation and analysis is a strong plus
- Python or similar scripting for analysis and automation is a strong plus
- Experience validating or monitoring Machine Learning models used in AML detection is a strong plus
- Experience in a fintech, neobank or payment institution serving SMEs is a strong plus
Benefits
Comp & perks- Resources and opportunities for continuous personal and professional development
- Flexibility to travel and work remotely or in a hybrid model across Europe
- Stock Options Program available to every team member
- Constant support and care
- Modern, friendly, and eco-conscious corporate culture
- One month in a corporate apartment in Cyprus through the Work & Swim Program