Compliance Data & Automation Analyst in London

YouLend is one of the fastest-growing embedded finance platforms in the world, partnering with leading e-commerce marketplaces, payment processors and banks to provide revenue-based financing to small businesses. We operate across multiple jurisdictions including the UK, EU and US, and we're building the infrastructure, controls and capabilities needed to do that at scale.

Our Transformation team sits at the heart of that effort. It owns the operating model for merchant onboarding, systems automation, third-party tooling and business efficiency. This role is a new addition to that team — dedicated to building data and automation capability in support of our Financial Crime Compliance and Regulatory Compliance functions.

This is a hands-on data, automation and systems role. You will sit in the Transformation team and work closely with Financial Crime Compliance (FCC), Regulatory Compliance and the wider Data and Legal function to build the technical infrastructure that keeps our compliance framework effective, scalable and audit-ready.

The initial focus will be Financial Crime Compliance, expanding into Regulatory Compliance and then broader Transformation priorities across customer onboarding, process efficiency and automation. Over time, you will also support wider Transformation priorities across the customer onboarding production line, including workflow optimisation, third-party tooling, process automation and operational performance.

• MI, Dashboards and Governance Automation
  • Build and maintain dashboards for Financial Crime and Regulatory Compliance KPIs.
  • Automate the production of recurring MI and governance reporting, including the monthly Financial Crime Committee pack.
  • Improve consistency of reporting definitions, data logic, governance materials and audit trails.
  • Identify anomalies in MI and support root-cause analysis.
  • Move reporting away from manual, spreadsheet-heavy processes towards repeatable, scalable and controlled outputs.
• Transaction Monitoring Support
  • Support analysis, testing, tuning and refinement of transaction monitoring rules.
  • Use data and operational feedback to reduce false positives and improve control effectiveness.
  • Analyse AML, KYC, KYB, fraud and transaction monitoring data to identify patterns, trends, anomalies and control gaps.
  • Help assess emerging financial crime typologies and translate findings into monitoring, dashboarding or workflow improvements.
  • Document rule logic, tuning rationale, data assumptions and control changes.
• Regulatory and Audit Data Support
  • Support data collation for regulatory reporting, audit requests and control testing across relevant jurisdictions.
  • Support thematic reviews and assurance work through extracts, analysis, trend reporting and evidence packs.
  • Ensure reporting outputs are based on clear definitions, checks and audit-ready documentation.
• Workflow and Jira Optimisation
  • Improve visibility over compliance escalations, including volumes, ageing, themes, routing and SLA tracking.
  • Build dashboards and reporting to support better workflow management across the compliance teams.
  • Identify root causes behind recurring escalations or operational friction.
  • Support investigations and escalations with data analysis, evidence packs, workflow MI and trend analysis.
• Third-Party Tooling and Data Orchestration
  • Support implementation, optimisation and monitoring of onboarding, screening and monitoring tools.
  • Ensure tool outputs are usable for Compliance, Operations, audit and governance purposes.
  • Translate compliance and operational requirements into system, data and workflow requirements.
  • Identify where tooling can reduce manual effort, improve control visibility or improve the customer onboarding experience.
• AI and Automation
  • Develop controlled AI, low-code or automation use cases for compliance and transformation workflows.
  • Identify opportunities to automate recurring manual work across Compliance and customer onboarding.
  • Help develop practical use cases for anomaly detection and smarter monitoring using internal data.
• Wider Transformation Support
  • Support efficiency and automation projects across the customer onboarding production line.
  • Analyse onboarding workflows to identify bottlenecks, manual steps and automation opportunities.
  • Work with Product, Operations, Data, Legal and Compliance to improve process design, measurement and continuous improvement.

We are looking for someone practical, analytical and delivery-focused. You should be comfortable working with data, asking good questions, building usable outputs and taking ownership of improvements from idea to implementation. You do not need to be a financial crime expert from day one, but you should be interested in financial crime, compliance, customer onboarding, regulated environments and how data can improve controls.

• Strong data analysis capability, including SQL and experience working with large operational datasets.
• Experience building dashboards and recurring MI using Power BI, Tableau, Looker, Metabase or similar tools.
• Ability to translate business, compliance and operational requirements into dashboards, automation workflows and technical specs.
• Strong understanding of data quality, data definitions, controls documentation and auditability.
• Experience working cross-functionally with Compliance, Operations, Product, Data or Transformation teams.
• Strong problem-solving skills — able to identify trends, anomalies, bottlenecks and root causes from data.
• Familiarity with workflow optimisation, automation or low-code / no-code tooling.
• Good judgment around data governance, access controls and the use of AI tools in regulated environments.
• A genuine bias toward building and shipping, not just surfacing recommendations.
• Strong communication skills — including the ability to explain data, risks and trade-offs to non-technical stakeholders.

• Experience in financial crime, AML, KYC/KYB or transaction monitoring, including familiarity with onboarding or screening tools such as Alloy or Moody's.
• Python or other programming experience for data manipulation and analysis.
• Experience supporting regulatory reporting, audit, assurance or control testing.
• Familiarity with UK, EU or US financial crime or payments regulatory environments.
• Experience building or safely deploying AI-enabled tools to support investigations, reporting, governance or operational workflows.
• Experience working in fintech, payments, lending, banking, financial services or another regulated environment.
• Experience improving customer onboarding, operational workflows or production-line processes.

In the first three months you'll:

• Map existing FCC and Regulatory Compliance MI production processes and understand the current pain points.
• Get under the hood of the current onboarding rules, screening thresholds, customer risk models, transaction monitoring rules and dashboards.
• Work with the Data team and current transaction monitoring owner to understand source data, definitions and dependencies.
• Review the Financial Crime Committee pack and identify the fastest wins for automation.
• Review Jira escalation data and propose dashboard and workflow improvements.
• Build a prioritised six-month roadmap covering dashboards, MI automation, TM support, tooling optimisation and onboarding efficiencies.
• Identify quick wins to reduce manual reporting and improve dashboard visibility.
• Understand the wider customer onboarding production line and where automation, better data or improved tooling could reduce friction.

This role suits someone who enjoys sitting at the intersection of data, systems, compliance and operational transformation. You might come from financial crime analytics, compliance data, operations analytics, product operations, business intelligence, or a data role in fintech or a regulated environment. What matters most is that you are someone who takes ownership, moves with urgency, works collaboratively and builds practical solutions that make a visible difference.

Why join YouLend?

• Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work in 2024, 2025 and 2026” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
• Award-Winning Fintech: YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.
• Lots of upsides: High-growth (>100% growth during 2022 and 2023), so clear outlook to compensation (bonus or share option appreciation) and career growth (through growth with business).
• Well-capitalised with supportive private equity backing.
• Motivating work environment: A high-quality team that pushes each other to succeed through direct feedback and aligned incentives.
• Data-driven culture and emphasis on speed (anti-red tape).

At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.