{"id":3153805,"url":"https://alion.io/job/teya-senior-data-analyst-enterprise-risk","title":"Senior Data Analyst - Enterprise Risk","company":{"id":684703,"name":"Teya","domain":"teya.com","url":"https://alion.io/company/teya","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":78,"open_postings":28,"ghost_share":0,"stale_share":0.893,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":68},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-23T12:29:06Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T21:58:59Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Hello. We’re Teya.\nTeya was founded on a simple belief: local businesses deserve better.\nThey 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.\nTeya exists to change that.\nWe’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.\nWe 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.\nIf you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you\nSenior Data Analyst - Enterprise Risk\nThe role\nTeya is building its Enterprise Risk Management Framework (ERMF) and strengthening how risk information is brought together, analysed and reported across the business.\nAs 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.\nThis 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.\nYou'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.\nThis 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.\nWhat you'll do\nDevelop 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.\n\nPartner 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.\n\nAnalyse 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.\n\nSupport 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.\n\nBuild dashboards and management reporting: Develop clear, accessible dashboards using Tableau, Power BI or similar tools, supporting monthly ERMF reporting and management oversight.\n\nAutomate 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.\n\nDevelop 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.\n\nSupport 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.\n\nImprove data quality and governance: Document data sources, definitions, lineage, refresh frequencies, validation checks and limitations to ensure reporting is consistent, explainable and reliable.\n\nDrive continuous improvement: Identify opportunities to simplify reporting, improve analytical processes and strengthen how risk information is used across the business.\n\nWhat you'll bring\nExperience in a data analytics, risk analytics or similar analytical role within a risk function, ideally covering enterprise, operational, credit, fraud or financial crime risk.\n\nA practical understanding of how risk is identified, assessed and monitored, including how risk appetite, controls, risk drivers, KRIs and thresholds connect.\n\nStrong 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.\n\nWorking 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.\n\nExperience building dashboards and management reports using Tableau, Power BI or similar visualisation tools.\n\nStrong analytical judgement, with the ability to challenge assumptions, investigate unexpected results, assess data quality and communicate clearly what the data does-and does not-show.\n\nExperience working with data from multiple sources and improving the reliability, consistency and usability of analytical outputs.\n\nHands-on curiosity about current AI models and AI-enabled workflow automation, with the ability to build and improve workflows that support data gathering, analysis and risk reporting.\n\nA structured, pragmatic approach to problem-solving, with the confidence to work through ambiguity and take ownership of deliverables.\n\nUseful, but not essential\nExperience in financial services, payments, fintech or another regulated environment.\n\nExposure to enterprise risk management frameworks and risk appetite frameworks.\n\nExperience working with Snowflake or another cloud data warehouse.\n\nFamiliarity with data pipelines, APIs, workflow orchestration or system integrations.\n\nExposure to governance, risk and compliance (GRC) platforms.\n\nExperience with statistical analysis, anomaly detection, forecasting or early-warning indicators.\n\nExperience using external regulatory, market or threat intelligence to support risk monitoring.\n\nFamiliarity with AI agents, large language models (LLMs) or AI-enabled workflow automation tools.\n\nWhat success looks like\nTrusted risk data: KRI datasets are accurate, consistent, well-documented and refreshed at the required frequency.\n\nMeaningful risk insight: Analysis helps risk owners understand changes in risk exposure, investigate anomalies and make informed decisions.\n\nEffective business partnering: Risk stakeholders have confidence in the data, reporting and analysis provided, and their requirements are translated into practical solutions.\n\nClear management reporting: Monthly ERMF reporting is timely, evidence-based and increasingly automated.\n\nEarlier identification of emerging risks: Explainable monitoring highlights significant movements and potential issues for investigation.\n\nReliable AI-enabled workflows: Automation reduces manual effort while maintaining accuracy, traceability and appropriate human review.\n\nStronger risk data foundations: Data definitions, quality checks and reporting processes support the continued development of Teya's ERMF and GRC capabilities.\n\nBenefits\nCompetitive salary: A competitive package aligned with your experience and impact.\n\nEquity participation: The opportunity to share in Teya's growth, subject to the applicable scheme and eligibility.\n\nPension: Workplace pension provision.\n\nHoliday: Generous annual leave to support a healthy work-life balance.\n\nFlexible working: A flexible working environment built around collaboration, ownership and getting things done.\n\nLearning and development: Opportunities to develop your risk, data analytics and AI automation skills as the business grows.\n\nHealth and wellbeing: Support for your wellbeing, with benefits designed to help you thrive at work and beyond.\n\nTeam and company events: Opportunities to connect with colleagues, share ideas and celebrate success.\n\nTeya is proud to be an equal opportunity employer.\nWe are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.\nIf you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. 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