Exposure Analytics Lead — Security & Compliance

Julius Baer

Madrid

On-site

EUR 65,000 - 90,000

Full time

6 days ago
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Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Tableau
Data modelling
Calculated fields
LoD expressions
Python scripting

Education

Bachelor's degree

Tools

Python

Job description

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.

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