Senior Data Analyst - Enterprise Risk

About this role

Hello. We’re Teya.
Teya was founded on a simple belief: local businesses deserve better.
They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.

Teya exists to change that.
We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.
We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.
If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you
Senior Data Analyst – Enterprise Risk

The role
Teya is building its Enterprise Risk Management Framework (ERMF) and strengthening how risk information is brought together, analysed and reported across the business.
As Senior Data Analyst, you will play a key role in turning risk data into reliable measures, meaningful insights and actionable reporting. You'll work closely with the Head of Enterprise & Operational Risk and stakeholders across Credit, Fraud, AML, People, IT, Operations and Finance to understand the risks facing the business, identify the right data to monitor them, and develop effective reporting and early-warning capabilities.
This is a business-facing analytical role. Understanding risk, working effectively with risk owners and translating their requirements into practical data solutions will be just as important as your technical skills. You'll help ensure key risk indicators (KRIs) are meaningful, data is reliable, thresholds are appropriately informed by analysis, and reporting supports better risk oversight and decision-making.
You'll also help modernise how risk reporting is produced, using AI models and workflow automation to bring together internal data and relevant external information, identify emerging issues and reduce manual effort. The focus is on practical application, with robust validation, traceability and human oversight.
This is an opportunity to combine risk expertise, analytical problem-solving and emerging AI capabilities to help shape how a growing fintech business identifies, monitors and manages risk.
What you'll do

• Develop risk data and reporting: Identify and map relevant data sources, using tools such as Snowflake to build repeatable datasets for KRIs across operational, credit, fraud, AML, people, capital, liquidity and other risk categories.

• Partner with risk stakeholders: Work closely with the Head of Enterprise & Operational Risk and risk owners across the business to understand their priorities, clarify reporting requirements and translate risk management needs into practical analytical solutions.

• Analyse and monitor risk indicators: Use SQL and Python to investigate trends, test assumptions, identify anomalies and understand changes in risk exposure. Help risk owners interpret findings and determine where further investigation or action may be needed.

• Support KRI definitions and thresholds: Work with risk stakeholders to validate indicator definitions, assess data quality and analyse historical and current performance to inform threshold calibration. Help ensure indicators provide meaningful insight into the risks they are intended to monitor.

• Build dashboards and management reporting: Develop clear, accessible dashboards using Tableau, Power BI or similar tools, supporting monthly ERMF reporting and management oversight.

• Automate risk reporting with AI: Build and improve AI-enabled workflows that bring together internal data and relevant external signals, including regulatory updates, market developments, news and emerging threats. Help generate evidence-based reporting drafts for review by the Head of Enterprise & Operational Risk and CRO.

• Develop early-warning capabilities: Help design and test approaches to monitor KRI movements and operational data throughout the month, highlighting unusual patterns and potential emerging risks with clear supporting evidence for investigation.

• Support risk technology and integration: Translate ERMF and reporting requirements into practical data, integration and workflow specifications for Teya's governance, risk and compliance (GRC) solution, partnering with Risk, Data and Technology colleagues on implementation.

• Improve data quality and governance: Document data sources, definitions, lineage, refresh frequencies, validation checks and limitations to ensure reporting is consistent, explainable and reliable.

• Drive continuous improvement: Identify opportunities to simplify reporting, improve analytical processes and strengthen how risk information is used across the business.

What you'll bring

• Experience in a data analytics, risk analytics or similar analytical role within a risk function, ideally covering enterprise, operational, credit, fraud or financial crime risk.

• A practical understanding of how risk is identified, assessed and monitored, including how risk appetite, controls, risk drivers, KRIs and thresholds connect.

• Strong business partnering skills, with the ability to work closely with risk owners and non-technical stakeholders, understand their needs and translate them into meaningful analysis, reporting and monitoring solutions.

• Working knowledge of SQL and Python for data analysis and practical automation. You don't need to be a software engineer, but you should be comfortable using these tools, including with AI assistance, and validating the accuracy of the results.

• Experience building dashboards and management reports using Tableau, Power BI or similar visualisation tools.

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