FinCrime Analyst ensuring compliance and safety in financial operations within the Financial Crime team at Swan. Focusing on regulatory compliance in the Italian market and corporate clients.
Responsibilities
Analyze escalations from 1st line on customer transaction patterns, with a strong focus on Italian corporate customers, to identify potential money laundering or fraudulent activities.
Perform sanctions and PEP screenings as well as due diligences when necessary to ensure compliance with international and local (Italian) regulatory requirements.
Conduct in-depth investigations into suspicious activities and transaction patterns, assessing, drafting and submitting Suspicious Activity Reports (SOS) in line with Italian AML regulations.
Support the management of fraud-related incidents, including analyzing chargeback cases, unauthorized transfers, and phishing attempts.
Contribute to the continuous improvement of FinCrime procedures, and controls, with particular attention to Italian regulatory expectations.
Preparation, drafting, and submission of Suspicious Activity Reports (SOS) to the Italian Financial Intelligence Unit (UIF), including operational use of Infostat-UIF, following internal approval processes.
Support training initiatives to educate teams on emerging FinCrime risks, typologies, and mitigation techniques.
Requirements
5 years of experience in financial crime, fraud, or AML within Fintechs, Payment Institutions, EMIs, or traditional banking environments, with focus on corporate clients.
hands-on experience with the Italian AML framework, including UIF indicators of anomaly and Suspicious Activity Reporting (SOS).
Familiarity with transaction monitoring tools and AML regulations (e.g. FATF recommendations, EU AML directives, Italian AML Law – D.Lgs. 231/2007) is a must.
strong analytical skills and a detail-oriented mindset.
able to work autonomously on complex cases while collaborating effectively with the MLRO and senior stakeholders.
strong written and verbal communication skills, in both Italian and English.
Prior experience with Infostat-UIF is considered a strong asset.
Benefits
27 days of paid leave.
access to Moka Care for mental health and wellness.
Hybrid remote policy: We offer the possibility of working from home for 2 days per week.
Once a year we gather to reconnect, deep-dive into big topics, and relax.
diversity and inclusion are important at Swan. We’re working hard to get better every day.
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