Senior Data Analyst - Enterprise Risk

The role

You will turn risk data into reliable measures, meaningful insights, and actionable reporting. You will work with risk stakeholders to develop reporting, early-warning capabilities, and AI-enabled workflows to monitor risk across the business.

What you will do

• Identify and map relevant data sources to build repeatable datasets for KRIs.
• Partner with risk stakeholders to translate management needs into analytical solutions.
• Use SQL and Python to investigate trends, test assumptions, and identify anomalies.
• Validate indicator definitions and assess data quality to inform threshold calibration.
• Develop dashboards and management reporting using Tableau, Power BI or similar tools.
• Build and improve AI-enabled workflows to automate risk reporting.
• Design and test approaches to monitor KRI movements and highlight unusual patterns.
• Translate requirements into specifications for the GRC solution.
• Document data sources, definitions, lineage, and validation checks.
• Identify opportunities to simplify reporting and improve analytical processes.

Required qualifications

• Experience in a data analytics, risk analytics or similar analytical role within a risk function.
• Practical understanding of how risk is identified, assessed and monitored.
• Strong business partnering skills to work with non-technical stakeholders.
• Working knowledge of SQL and Python for data analysis and practical automation.
• Experience building dashboards and management reports using Tableau, Power BI or similar visualisation tools.
• Strong analytical judgement to challenge assumptions and investigate results.
• Experience working with data from multiple sources.
• Hands-on curiosity about current AI models and AI-enabled workflow automation.
• A structured, pragmatic approach to problem-solving.

Nice to have

• Experience in financial services, payments, fintech or another regulated environment.
• Exposure to enterprise risk management frameworks and risk appetite frameworks.
• Experience working with Snowflake or another cloud data warehouse.
• Familiarity with data pipelines, APIs, workflow orchestration or system integrations.
• Exposure to governance, risk and compliance (GRC) platforms.
• Experience with statistical analysis, anomaly detection, forecasting or early-warning indicators.
• Experience using external regulatory, market or threat intelligence to support risk monitoring.
• Familiarity with AI agents, large language models (LLMs) or AI-enabled workflow automation tools.

Benefits

• Competitive salary
• Equity participation
• Workplace pension provision
• Generous annual leave
• Flexible working environment
• Learning and development opportunities
• Health and wellbeing support
• Team and company events

About the company

Teya is building a financial platform for local businesses across Europe. The company aims to provide simple tools, thoughtful design, and real human support to help local businesses run with confidence.