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12 минут назад

Senior Data Analyst (Compliance Officer - Transaction Monitoring, AML/CTF) (f/m/d)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
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
Senior Data Analyst (Compliance Officer - Transaction Monitoring, AML/CTF) (f/m/d) (Python/SQL, Financial Crime): Analyzing complex financial transaction data to detect suspicious activity and improve transaction monitoring frameworks with an accent on AML/CTF, fraud analytics, regulatory compliance, and quantitative analysis. Focus on calibrating monitoring rules and thresholds, reducing false positives, supporting investigations and SAR preparation, and developing evidence-based recommendations.

Location: Prague, Czech Republic; hybrid work. Remote work from EU countries is available for 12 days per year.

Company

hirify.global operates an international financial-market infrastructure and provides compliance oversight across its group entities and business activities.

What you will do

  • Analyze large and complex financial transaction datasets with Python and SQL to identify trends, anomalies, suspicious activity, and financial crime risks.
  • Design, calibrate, tune, and optimize transaction monitoring rules, thresholds, scenarios, and decision matrices.
  • Improve monitoring processes and guidelines in line with AML/CTF, fraud, and other regulatory requirements.
  • Analyze monitoring results, reduce false-positive ratios, and provide evidence-based recommendations.
  • Prepare analyses, metrics, documentation, and responses for regulatory, internal, external audit, and authority requests, including German-language responses.
  • Collaborate with compliance, risk, business, technology, investigation, legal-entity, and external stakeholders; support typology identification, investigations, and potential SAR filings.

Requirements

  • At least five years of professional experience in data analysis within financial markets, including work with large datasets and complex data structures in regulated environments.
  • University degree in Data Science, Statistics, Computer Science, or a comparable qualification.
  • Experience with data analysis and statistical methods, plus strong analytical skills and solid knowledge of SQL and Python.
  • Relevant financial-services experience, preferably in transaction monitoring, financial crime, AML/CTF, or fraud analytics.
  • Profound knowledge of German and EU regulatory requirements, including KWG, GWG, and AMLR, and a solid understanding of transaction monitoring concepts and financial crime risks.
  • Knowledge of change and release management, including requirements management.
  • General technical understanding of software architecture and networks.
  • Strong writing, conceptual, and methodological skills, with the ability to communicate complex analytical results to technical and non-technical stakeholders.
  • Structured, methodical, documentation-oriented, independent, and collaborative working style in a multicultural, multilocation, matrix organization.
  • Proficiency in written and spoken English and German.

Nice to have

  • Knowledge of settlement business.
  • Experience with Databricks.

Culture & Benefits

  • Hybrid work and flexible working hours.
  • Remote work from EU countries for up to 12 days per year.
  • Pension contribution of 3% of gross salary, increasing to 5% after five years.
  • Fully covered Multisport card, life and accident insurance, sick days, and 100% salary contribution during sick leave for up to 56 days.
  • 25 vacation days, covered public transport in Prague, free parking, and a flexible Pluxee benefit account.
  • Group share plan, e-learning platforms, internal development programs, mentoring, and learning budget.

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