Data Analyst
Vor 6 Tagen
Transformation von Daten in verwendbare Formate und standardisierte Protokolle
Erfahrung mit Datenverarbeitungs- und Integrationspipelines in einem Big Data/ETL-Kontext unter Verwendung von GCP, Hadoop, Apache Spark, Shell-Scripting, Testframeworks oder anderen Komponenten aus dem Ökosystem
Sie haben mindestens 3 Jahre Berufserfahrung in der Entwicklung mit Python, oder ähnlichen Programmiersprachen mit Fokus auf Big Data und ein fundiertes Verständnis für Data Analytics und statistische Methoden
Erfahrungen in den Bereichen Finanzkriminalität und Banken mit deren Transaktionsprozessen
Sie sind ein Teamplayer und verfügen über eine hohe persönliche Integrität mit sehr guten Englischkenntnissen in Wort und Schrift, Deutsch wünschenswert
Die Stelle wird in Voll- und in Teilzeit angeboten
Emotional ausgeglichen Eine positive Haltung hilft uns, die Herausforderungen des Alltags zu meistern - beruflich wie privat. Sozial vernetzt Der Austausch mit anderen eröffnet uns neue Perspektiven, bringt uns beruflich wie persönlich voran und stärkt unser Selbstvertrauen und Wohlbefinden. Profitieren Sie von Angeboten wie Unterstützung durch den pme Familienservice, das FitnessCenter Job, flexible Arbeitszeitmodelle (bspw. Teilzeit, Jobtandem, hybrides Arbeiten) sowie einer umfangreichen Kultur der Vielfalt, Chancengleichheit und Teilhabe.
Finanziell abgesichert Die Bank sichert Sie nicht nur während Ihrer aktiven Karriere, sondern auch für die Zukunft finanziell ab und unterstützt Ihre Flexibilität sowie Mobilität - egal ob privat oder beruflich. Profitieren Sie von Angeboten wie Beitragsplänen für Altersvorsorge, Bankdienstleistungen für Mitarbeiter*innen, Firmenfahrrad oder dem Deutschlandticket.
Da die Benefits je nach Standort geringfügig variieren, gehen Sie bitte bei konkreten Fragen auf Ihren Recruiter zu.
Die Stelle wird in Voll- und in Teilzeit angeboten.
Deutsche Bank (DB) benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping DBs business operations and global financial services clean from financial crime while serving the interests of the bank and society.
In order to combat financial crime effectively and respond to challenges in a flexible manner, AFC has a matrix structure combining regional, business line and global functional coverage in our core areas of Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. AFC helps Deutsche Bank generate long-term trust and add value for our clients, staff and society and provide challenging opportunities for you to learn, contribute and benefit from your journey with us. AFC Monitoring & Screening Global Platform (GP) is responsible for the implementation of the strategic Transaction Monitoring platform and the further development of the existing Transaction Monitoring and Name List Screening systems. Data is the basis for comprehensive controls and a key area for the identification of financial crime related risk.
Within AFCs GP the "Intelligence Layer" has a focus on the application of advanced analytics to the consumed data. As Data Analyst you will be analyzing data and developing insights and recommendations. You will work closely with cross-functional teams to support business requirements with analytical expertise. Collaboration with analysts, data engineers and scientists to enable quality results from the application of advanced analytics methods to our data.
collection and analysis of data from various sources to identify trends and patterns
translation of business requirements and risk definitions into actionable analytics activities and developing insights and recommendations to drive business requirements
organizing data into usable formats and standardized protocols
ability to build a broad understanding of the bank's existing data, and data sources
development of models and data visualization
cooperation with architects, infrastructure experts and data engineers on an international framework for data analysis and enrichment
Experience with data processing and integration pipelines in a big data/ETL context, using Hadoop, Apache Spark, GCP, shell scripting, test frameworks, or other components from the ecosystem
You have at least 3 years of working experience in Python, or similar programming languages with a focus on big data and a sound understanding for data analytics and statistical methods
You are a team player and have as well a high level of personal integrity with excellent oral and written English skills, German desirable
This job is available in full and parttime.
We provide you with a comprehensive portfolio of benefits and offerings to support both, your private and professional needs.
You can benefit from health check-ups; You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion.
You can benefit from offerings such as pension plans, banking services, company bicycle or "Deutschlandticket".
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
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