Exposure Management Data Analyst 100% (f/m/d)

Bank Julius Bär & Co. Ltd.; Comunidad de Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Bank Julius Baer & Co. Ltd. in Madrid is seeking an Exposure Management Data Analyst to own the data behind security exposure reporting. You will maintain dashboards, extend the reporting estate, and ensure consistency in calculations across modules.

The ideal candidate has hands-on Tableau expertise, strong data modelling skills, Python scripting experience, and 5+ years in data analytics or data engineering. Fluency in English is required.

Qualifications

• Hands-on expertise with an enterprise BI platform (Tableau preferred).
• Ability to design and document metrics and composite scores with weighting, missing data handling, and validation.
• Experience defining a measure from scratch and getting it accepted by stakeholders.
• Scripting for data transformation and automation, ideally in Python, with maintainable, version-controlled work.

Responsibilities

• Own, maintain, and extend dashboards and reports for security exposure.
• Design formulas behind exposure measures with single definitions and owners.
• Build and maintain per-asset security result transformations at scale.
• Define measures for new exposure domains and establish metrics.

Skills

Tableau

Data modelling

LOD expressions

Python scripting

Data engineering

Reporting

Education

Bachelor's degree in computer science or related field

Tools

Tableau

Python

Job description

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.Exposure Management Data Analyst within our Security Compliance Competence Centre in Madrid, own the data and the measures behind everything Bank Julius Baer reports about its security exposure. Maintain and extend our reporting estate, design the formulas that turn raw findings into decision-grade measures, and build the reporting capability that a globally governed function needs under increasing regulatory scrutiny.YOUR CHALLENGEOwn, maintain, and extend the dashboards and reports through which the bank sees its security exposure, covering a growing estate of modules. Immediate focus falls on the established practices: penetration testing, infrastructure vulnerabilities, and security configuration baseline complianceDevise, document, and version the formulas behind our exposure measures, so that every published figure has one definition, one calculation, and one ownerBuild and maintain the searches and transformations that aggregate per-asset security results at scale, including the coverage checks that distinguish an asset that passed from an asset that stopped reportingDefine the measures for exposure domains being brought under management for the first time, where no established metric exists to inherit. You will propose the definition, defend it, and build the reporting behind itDesign, validate, and support the adoption of an aggregated per-service exposure score intended to enable proportionate, risk-based governance. This begins as an experiment, and you will be responsible for establishing whether it earns operational use. Key partners will include stakeholders across delivery and governance functionsReplace the manual compilation of responses to supervisory requests with a standardized, reusable, and reproducible reporting capability, including the mapping from each requirement to the underlying dataYOUR PROFILEHands-on expertise with an enterprise business intelligence platform (Tableau preferred): data modelling, calculated fields, level-of-detail expressions, extract strategy, and performance tuningProven ability to design and document metrics and composite scores, covering weighting, treatment of missing data, sensitivity, and validationExperience defining a measure from scratch in a domain that had none and getting it accepted by the people it measuresScripting for data transformation and automation, ideally in Python, with the discipline to produce maintainable, documented, version-controlled workBachelor's degree in computer science, data engineering, information security, or equivalent practical experienceFive or more years of experience in data analytics or data engineering, including direct responsibility for reporting that other people depend onFluency in EnglishWe are looking forward to receiving your full job application through our online application tool.