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# Head of Model Risk Management & Data Quality

- **Company:** Ebury Madrid
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Infrastructure, Python (Programming Language), DataOps, SQL Databases, Data Analytics, Data Management
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/head-of-model-risk-data-quality-ebury-8800808

## About the Role

Analytical Skills: you can understand complex mathematical models and statistical analyses, as well as identify potential risks and inefficiencies. You have a background in quantitative fields such as statistics, mathematics, or quantitative finance. Knowledge of tools and techniques used in quantitative modelling. Comfortable coding or reading model written in Python and SQL. You like building dashboards and gaining insights from data

Risk Management Expertise: You have experience of working with various types of risk, including operational, financial, and market risk, and be familiar with regulatory requirements related to risk management.

Communication Skills: You can communicate complex concepts and risk assessments to stakeholders and top-level management.

Knowledge of Financial Models: You are familiar with the types of financial models used in the company and industry at large.

Data Platforms and Data Teams: You are familiar with a modern Data Platform and the related engineering, analytical, design and architectural skills involved with meeting the needs of a data-driven business

Attention to Detail: With risk management, small details can have a significant impact. So having an eye for detail and ensuring all aspects of a model are scrutinised is a vital skill.

Strategic Thinking: You can think strategically about how Ebury's business is exposed to model risks and what preventative measures can be taken whilst balancing what is feasible for teams that work in a fast-paced environment and are often already stretched.

Regulatory Knowledge: You have a good understanding of industry regulations and standards related to risk management.

Certified Risk Manager: Certifications like FRM (Financial Risk Manager), PRM (Professional Risk Manager), or CRM (Certified Risk Manager) could be beneficial.

## Description

* Develop and maintain a well-designed model risk management framework that meets our fast-paced and dynamic company's needs and regulatory requirements.
 * Guiding and advising teams in different parts of our organisation including Finance, Operations, Analytics, Decision Science, Sales & Marketing on model development, validation, and implementation processes.
 * Reviewing and evaluating validations of models including accuracy, performance, and predictive power.
 * Monitoring model performance over time and recommending necessary updates or modifications
 * Providing reporting and intelligence concerning our models to Risk Committees and Ebury Executives
 * Ensuring adequate documentation for all model development and validation activities.
 * Keeping abreast with changing regulations pertaining to model risk and ensuring compliance.
 * Providing training and raising awareness on model risk issues in the organisation.
 * Leading efforts to improve the data quality and monitoring of data feeding into each model. Liaising with the Data Teams to maximise the value of our Data Observability platform, Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.
AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.