Data Analyst (AML)

Genome is everything users need from the traditional banks, but safer, faster and completely online.

We are a Lithuanian-based Electronic Money Institution licensed by the Bank of Lithuania.

Genome is a B2B/B2C EU-oriented company, which offers personal, business, and merchant account opening, payment processing, money exchange, internal, SEPA, and SWIFT transfers, as well as other banking operations completely online. Clients can manage all their funds and accounts within our smart dashboard, which is in a desktop version, or through an app on Android and iOS.

Genome is looking for an Data Analyst (AML) !

1. Scenario Creation and Rule Development

• Design, implement, and optimize AML detection scenarios to identify suspicious activities effectively.
• Develop, update and constantly improve monitoring rules using system parameters and historical data to enhance risk detection.
• Test and validate scenarios and rules to ensure their efficiency and alignment with regulatory requirements and risk management objectives.

2. Scenario and Rule Monitoring

• Conduct ongoing performance reviews of existing detection scenarios and rules to minimize false positives and enhance accuracy at the same time ensuring proper detection.
• Use analytics to identify gaps or inefficiencies in current scenarios and propose enhancements based on emerging trends and typologies.

3. Automation and Process Improvement

• Explore and implement automation tools to streamline AML processes to reduce the amount of manual work done by the AML team.
• Work with data analytics and 3rd party vendor teams to integrate automation into AML processes.

4. Collaboration with Stakeholders

• Act as the technical point of contact for the AML team, bridging the gap between compliance and technology.
• Collaborate with cross-functional teams to ensure AML systems meet business objectives and compliance requirements.

5. Data Analysis & Reporting

• Analyze transactional data to identify patterns, trends, and potential AML risks, feeding insights back into scenario and rule development.
• Create detailed reports for stakeholders upon the need.

• Bachelor’s degree in Finance, Risk Management, Economics or related field;
• general understanding of AML compliance / Risk management / Fraud prevention practices;
• practical knowledge of risk analysis tools and methodologies, including but not limited to risk scoring, transaction monitoring, and predictive analytics;
• practical experience of SQL, Python, R, or any other language;
• fluency in Lithuanian and English (spoken and written).

• corporate medical insurance;

• reimbursement of English language courses expenses partially;

• reimbursement of sport center's subscription expenses partially;

• covering expenses for participation in professional events.

Compensation

Salary range : €2, 800 - €3, 300 gross monthly*

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience