Senior Data Analyst (Fintech)

Location: London, United Kingdom; hybrid

Company

hirify.global is building a financial platform for local businesses across Europe, providing tools and support for cafés, restaurants, salons, shops and other entrepreneurs.

What you will do

• Develop repeatable risk datasets and reporting for KRIs across operational, credit, fraud, AML, people, capital, liquidity and other risk categories.
• Partner with the Head of Enterprise & Operational Risk and risk owners across Credit, Fraud, AML, People, IT, Operations and Finance to translate requirements into analytical solutions.
• Use SQL and Python to analyse trends, test assumptions, investigate anomalies and monitor changes in risk exposure.
• Define and validate KRIs, assess data quality, calibrate thresholds and build dashboards and management reports using Tableau, Power BI or similar tools.
• Build AI-enabled workflows using internal data and external regulatory, market, news and threat signals; support early-warning monitoring and evidence-based reporting.
• Document data lineage and validation controls, specify GRC integrations, and improve reporting automation, reliability and governance.

Requirements

• Experience in data analytics, risk analytics or a similar analytical role within a risk function, ideally covering enterprise, operational, credit, fraud or financial crime risk.
• Practical understanding of risk identification, assessment and monitoring, including risk appetite, controls, risk drivers, KRIs and thresholds.
• Strong business partnering skills and the ability to translate non-technical stakeholder needs into analysis, reporting and monitoring solutions.
• Working knowledge of SQL and Python for data analysis and practical automation, including using AI assistance and validating results.
• Experience building dashboards and management reports with Tableau, Power BI or similar visualisation tools.
• Strong analytical judgement, including challenging assumptions, investigating unexpected results, assessing data quality and communicating data limitations.
• Experience working with multiple data sources and improving the reliability, consistency and usability of analytical outputs.
• Hands-on curiosity about current AI models and AI-enabled workflow automation, with the ability to build and improve workflows for data gathering, analysis and risk reporting.
• Structured, pragmatic problem-solving skills, with confidence working through ambiguity and taking ownership of deliverables.

Nice to have

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

Culture & Benefits

• Hybrid and flexible working focused on collaboration, ownership and delivery.
• Equity participation, subject to the applicable scheme and eligibility.
• Workplace pension and generous annual leave.
• Learning and development opportunities in risk, data analytics and AI automation.
• Health and wellbeing support, plus team and company events.
• Inclusive equal opportunity workplace with reasonable adjustments available throughout the recruitment process.