Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана чётко: серьёзная аналитика данных сочетается с важной работой по финансовым преступлениям и хорошим пакетом льгот, но нужны глубокие знания регулирования и свободный немецкий.
Актуальные технологии
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Щедрый пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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