20 publicaciones de empleo destacadas de intelligence analyst en madrid, md (¡Están contratando!)

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Alibaba Group-Alibaba International Digital Commerce Group-AliExpress-Miravia-Risk Data Analyst-Madrid
Alibaba —Madrid, Madrid provincia
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Verisure Sàrl —Pozuelo de Alarcón, Madrid provincia
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UST —Madrid, Madrid provincia
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Vulnerability Management Analyst (Hybrid set up), Madrid (M, ES)
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13d

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Risk & Compliance-Risk Data Analyst-Madrid

Alibaba -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Informática
R
Tableau
SQL
Grado
Inteligencia artificial
Python

Descripción completa del empleo

Basic Infomation

Department:

Alibaba Group

Degree:

Bachelor

Work Experience:

1 year

Job Description

About Miravia: Miravia is a cutting-edge e-commerce platform connecting buyers and sellers seamlessly. We pride ourselves on offering a diverse and dynamic shopping experience by bringing on board innovative brands across various categories. Located in Madrid, we work with teams from all over the world to build the e-commerce platforms of tomorrow. The Role: As a Risk Data Analyst, you are responsible for protecting the organization from financial, operational, and strategic risks. You will act as the technical bridge between raw data and actionable business intelligence, analyzing complex information to identify potential threats, quantify their impact, and empower the company to make informed, data-driven decisions. This position is critical for proactively managing risk and preventing potential losses. 1. Data Analysis You will execute firmwide data strategies by analyzing diverse datasets, including financial statements, operational logs, and market trends. Your primary function is to scrutinize this information to identify current risks, uncover emerging threats, and detect patterns of financial crime. This analysis is critical for finding where the business might lose money or miss key opportunities. 2. Impact Modelling You will develop and maintain sophisticated risk models to support forecasting and scenario planning. This involves determining the potential consequences of various business actions or market events by quantifying their financial impact. Your models will help the CRO team to assess risk appetite and make critical decisions with a clear understanding of potential outcomes. 3. Dashboards and Reports You will be responsible for preparing and presenting detailed reports and interactive dashboards to the CRO, senior management, and key stakeholders. These reports will visualize key risk metrics, trends, and alerts, providing a clear and concise view of the firm's risk posture and supporting the effective monitoring of our risk management framework. 4. Tool Integration and Automation You will play a pivotal role in enhancing our technical risk infrastructure. This includes working with various risk management systems, supporting their integration, and developing automated workflows for data collection, analysis, and reporting. The goal is to improve efficiency and ensure our risk detection capabilities are both scalable and robust. 5. Transaction Monitoring As a frontline defense, you will conduct real-time analysis of financial transactions to identify and scrutinize suspicious activity. This hands-on monitoring is essential for preventing immediate financial loss and provides the foundational data that informs broader risk assessments and model development.

Position Requirement

Required: - Intermediate proficiency in SQL for data querying, manipulation, and analysis. - Strong analytical and problem-solving skills with an investigative mindset and excellent attention to detail. - A strong desire to learn and develop skills in fraud detection, risk management, and data analytics. - Comfort working with large datasets. Preferred (A Plus): - Experience with a programming language like Python or R for data analysis and automation. - Familiarity with data visualization tools such as Tableau or similar platforms. - A Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience. - Prior exposure to or interest in fraud, trust & safety, or risk-scoring systems. - Experience with AI-based risk detection tools is preferred.

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