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

Julius Baer; Madrid; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Julius Baer in Madrid seeks an Exposure Management Data Analyst to own and extend dashboards that report security exposure across assets and services. You will design formulas, ensure a single source of truth, and automate data transformations to support supervisory reporting and governance.

The role requires hands-on BI experience (Tableau), strong data modelling, and a track record of delivering scalable reporting with maintainable code. Fluency in English is essential.

Qualifikationen

• Hands-on expertise with Tableau: data modelling, calculated fields and performance tuning.
• Proven ability to design and document metrics, including weighting and handling missing data.
• Experience defining a measure from scratch and securing stakeholder acceptance.
• Python scripting for data transformation with maintainable, version-controlled code.
• Bachelor’s degree in CS, data engineering, information security, or equivalent.
• Five+ years in data analytics or data engineering with reporting responsibility.
• Fluency in English.

Aufgaben

• Own, maintain, and extend dashboards and reports showing security exposure.
• Devise and version formulas behind exposure measures with a single definition and owner.
• Build searches and transformations that aggregate per-asset results at scale.
• Define measures for new exposure domains and build the reporting behind them.
• Design and validate an aggregated per-service exposure score for risk-based governance.
• Replace manual supervisory responses with a standardized, reusable reporting capability.

Kenntnisse

Tableau

Data modelling

Calculated fields

LoD expressions

Python scripting

Ausbildung

Bachelor's degree

Tools

Python

Jobbeschreibung

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 CHALLENGE

• Own, 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 compliance
• Devise, document, and version the formulas behind our exposure measures, so that every published figure has one definition, one calculation, and one owner
• Build 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 reporting
• Define 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 it
• Design, 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 functions
• Replace 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 data

YOUR PROFILE

• Hands‑on expertise with an enterprise business intelligence platform (Tableau preferred): data modelling, calculated fields, level‑of‑detail expressions, extract strategy, and performance tuning
• Proven ability to design and document metrics and composite scores, covering weighting, treatment of missing data, sensitivity, and validation
• Experience defining a measure from scratch in a domain that had none and getting it accepted by the people it measures
• Scripting for data transformation and automation, ideally in Python, with the discipline to produce maintainable, documented, version‑controlled work
• Bachelor’s degree in computer science, data engineering, information security, or equivalent practical experience
• Five or more years of experience in data analytics or data engineering, including direct responsibility for reporting that other people depend on
• Fluency in English