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AML Risk and Controls Officer

7 hours, 29 minutes ago
Netherlands, Poland, Spain
Full-time
Mid Level
Compliance Manager
Data Science and Analytics
Databricks Machine Learning Metabase Power BI Python SQL
Apply Now
Finom

Finom

Finom provides an online payment solution that enables entrepreneurs to easily open business accounts and efficiently manage their finances, offering features such as international payments, cashback rewards, and personal assistance to enhance financia...

Professional Services
11-50
Founded 2019
$20M raised
View All Jobs 99

Description

  • Investigate external and internal data sources to identify suspicious transactional behaviour and AML anomalies.
  • Document confirmed typologies in the FinCrime Scenarios Library and prioritize uncovered risks.
  • Partner with the AML Risk Manager to design detection rules, threshold changes and model features.
  • Back-test new or updated rules using historical data and assess alert volume, hit rate and false positives.
  • Prepare rule specifications, test results and acceptance criteria, and coordinate production deployment with Engineering.
  • Monitor live rules and AML machine-learning models; tune, escalate or retire controls when performance drifts.
  • Maintain and report on scenario-library control coverage, false-negative rates and forced-closure decision methodology.
  • Improve Transaction Monitoring and CDD Risk Engines, departmental processes and financial-crime system requirements.
  • Create training materials for Transaction Monitoring and Quality Assurance teams and lead ad hoc departmental projects.

Requirements

  • At least 2 years of Second Line of Defence experience at a regulated financial institution, or 3 years in a senior Transaction Monitoring or Process Owner role.
  • Thorough knowledge of AML regulations and transaction-based money-laundering typologies, including mule accounts, layering, structuring and misuse of business accounts.
  • Hands-on SQL experience, including querying large transaction tables and joins for investigations, rule back-testing and performance monitoring.
  • Experience with analytics and visualization tools such as Databricks, Metabase or Power BI.
  • Understanding of detection-control testing metrics, including false positives, false negatives, hit rate, precision, recall and back-testing.
  • Ability to work independently with structured, evidence-based thinking and close attention to detail in a fast-paced startup environment.
  • Ability to communicate findings and recommendations clearly to non-compliance stakeholders across Product, Engineering and Operations.
  • Practical use of AI tools for investigation and analysis, with judgement to validate outputs (preferred).
  • Python or similar scripting experience for analysis and automation (preferred).
  • Experience validating or monitoring AML machine-learning models, or working in an SME-focused fintech, neobank or payment institution (preferred).

Benefits

  • Remote or hybrid work flexibility across Europe.
  • Stock Options Program for all team members.
  • Personal and professional development opportunities.
  • Work & Swim Program, including one month in a corporate apartment in Cyprus.
  • Supportive, modern and eco-conscious workplace culture.

Interested in this position?

Apply directly on the company website

Apply Now

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