Complaints jobs in United Kingdom

## About the roleWe’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using **data, LLMs, and automation** to transform how our Operations teams work at scale.You’ll work directly with senior operations leadership working on **special projects** to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes.If you’re technical, curious, and love owning problems end-to-end, this is the role for you.## **What You’ll Do**### **1. Automation & AI Engineering*** Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.* Build prototypes, test with real operations data, and scale the successful ones into production workflows.* Partner with PMs and engineers to operationalise AI-driven solutions across Operations.### **2. Demand Analytics & Strategy*** Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).* Identify levers to reduce avoidable demand and improve customer outcomes.* Build analytical models that drive decision-making around cost optimisation and resourcing.### **3. KPI & Funnel Intelligence*** Build clear, robust KPI frameworks and funnel views across customer journeys.* Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.* Create metrics that scale across new geographies, products, and teams.### **4. Work With Senior Leadership*** Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives.* Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded.* Own analytics for high-impact projects end-to-end.## **What We’re Looking For**### **Must-Have Skills*** **1-3 years of hands-on experience** using **SQL and Python** in a professional setting.* Highly numerate with strong analytical reasoning* Ability to independently structure analysis, build prototypes, and deliver insights.* Experience communicating data-driven recommendations to **non-technical business stakeholders**.### **Nice-to-Haves*** Experience with **dbt** or modern data stacks.* Familiarity with LLMs, APIs, or interest in building AI automation.* Exposure to product, strategy, or operations environments.* Thrives in fast-paced, ambiguous environments.* Comfortable wearing multiple hats **Analyst**, **Data Scientist**, **AI Engineer**, **PM**.* Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech.## **Why Join*** Work on high-visibility, **high-impact projects** that directly shape the future of Lendable’s operations.* Build automation and analytics used daily by hundreds of agents and thousands of customers.* Collaborate with a small, sharp, and ambitious team that moves fast.* Real ownership: if you build it, you’ll see it shipped and scaled.* The opportunity to scale up one of the **world’s most successful** fintech companies* **Best-in-class** compensation, including equity* You can work from home **every Monday and Friday** if you wish - on the other days we all come together IRL to be together, build and exchange ideas* **Our in-house chefs** prepare fresh, healthy lunches in the office every Tuesday-Thursday* We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to **private health insurance*** We're an **equal opportunity employer** and are keen to make Lendable the most inclusive and open workspace in London