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3 дня назад

Deputy MLRO (Fintech)

3 000 - 3 870€
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Deputy MLRO (Fintech): Strengthening AML/CFT compliance for a Lithuanian fintech company with an accent on AML, KYC, sanctions, risk assessments, and regulatory reporting. Focus on reviewing high-risk cases and STRs, updating internal controls, monitoring regulatory changes, and using AI tools to improve compliance operations.

Location: Lithuania; hybrid work possibilities are available.

Salary: €3,000–€3,870 gross per month

Company

Paysera is a Lithuanian fintech company and EU-licensed e-money institution providing payment gateways, financial management, money transfers, and parcel locker services.

What you will do

  • Support the MLRO with AML, KYC, sanctions, and financial crime prevention compliance.
  • Contribute to risk assessments, policy updates, procedures, and internal controls.
  • Review high-risk cases, escalations, and suspicious transaction reports.
  • Prepare reports for the Bank of Lithuania and management, and support audits.
  • Monitor regulatory changes and recommend business adaptations.
  • Provide AML/CFT guidance and training to employees and first-line teams.

Requirements

  • University degree in law, finance, economics, or a related field.
  • At least 2–3 years of experience in AML, KYC, compliance, or risk management.
  • Strong knowledge of AML/CFT regulations and best practices.
  • Analytical skills, strong communication, teamwork, integrity, and high ethical standards.
  • Fluency in Lithuanian and English, both written and spoken.

Nice to have

  • Experience with AI tools and openness to innovation.

Culture & Benefits

  • Flexible working hours and hybrid work possibilities.
  • Accident and emergency insurance.
  • Health and wellness services through Stebby after probation.
  • Work-from-anywhere opportunities.
  • Regular workshops, training sessions, team-building events, and office initiatives.
  • Support and freedom to experiment with AI tools.

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