Strategy Analytics Manager

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:One of the UK’s newest unicorns with a team of just over 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.Join us if you want toTake ownership across a broad remit.

You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingThe roleWe are hiring a Strategy Analytics Manager or Senior Manager - Operations, with the final level determined by the successful candidate’s experience.You will act as the COO’s go-to analytical partner, reporting to the CRO: combining strategic judgement, strong stakeholder management and hands-on technical delivery. This is both a management and coding role - you will lead a small team while personally delivering high-priority analysis using SQL and Python.Key themes of the role1. Operations MI, KPI and customer outcome metrics ownershipYou will have full accountability for Operations management information and performance reporting.You will:Own MI across front-office and back-office Operations departmentsDefine and govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomesEnsure operational efficiency is balanced with fair, timely and effective outcomes for customersIdentify where operational processes or service performance are creating customer friction, repeat contact or poor outcomesEnsure reporting is accurate, consistent and trusted by senior leadershipDevelop strategic north-star metrics that show whether Operations is becoming more effective and scalableMove the function beyond retrospective reporting towards forward-looking insight and decision support2.

Workflow optimisation and operational strategyYou will work closely with Operations Directors, Heads of Department, the Operations Transformation Office and Product teams to identify, prioritise and deliver the highest-value operational opportunities.You will:Diagnose bottlenecks, failure demand, customer friction and inefficient workflowsWork with Transformation and Product to define which problems and opportunities to pursueIdentify the lowest-hanging fruit and quantify the potential operational and customer valueRecommend improvements to processes, routing, tooling, products and ways of workingDefine clear hypotheses, baselines and success measures before changes are implementedMeasure realised impact precisely and determine whether initiatives should be scaled, adjusted or stoppedTranslate analysis into clear decisions, actions and ownership3. Demand, SLAs and resourcingYou will own the analytical cycle supporting operational planning and performance decisions.This includes:Understanding changes in demand and customer contact behaviourSupporting forecasting, capacity and headcount decisionsEvaluating SLA and service-level trade-offsMeasuring throughput and productivity consistentlyIdentifying emerging risks or operational pressure pointsHelping leaders make evidence-based prioritisation and resourcing decisionsYou will be expected to explain not only what happened, but why it happened, what should change and how success should be measured.4. Automation, AI and strategic measurementYou will partner closely with Data Science and Operations teams to assess the impact of automation, AI and LLM-led initiatives.You will:Define hypotheses, baselines, control groups and success metricsMeasure time saved, quality improvements, risk reduction and customer impactIdentify unintended consequences or displacement of workPrioritise automation opportunities based on value and feasibilityEnsure claimed

Benefits

are supported by credible measurementYou will also develop an understanding of the regulatory environment surrounding fintech Operations, including complaints, vulnerability, fraud, PEP and sanctions screening, customer due diligence and conduct risk.Technical

Requirements

You must be highly hands-on and comfortable working directly with data.Very strong SQL and PythonExperience working with APIsAdvanced Excel and strong 80/20 analytical judgementUnderstanding of semantic data models and good analytics engineering practicesBasic statistics, experimentation and causal measurement knowledgeUnderstanding of Data Science, automation and LLM principlesdbt experience is helpful but not essentialLeadership and stakeholder skillsStrong commercial and operational judgementHigh emotional intelligence and stakeholder management skillsComfortable influencing and constructively challenging senior leadersAble to translate complex analysis into simple business decisionsCapable of working at pace across several competing prioritiesTeamYou will initially manage:One Senior Analytics EngineerOne Analytics EngineerOver time, you may hire an additional analyst and gradually grow the team based on business need.You will set the direction and priorities of the Operations analytics function, develop the team and create an effective operating model across Analytics, Analytics Engineering, Data Science and Operations.Life at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific

Benefits

vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!Find more English Speaking Jobs in United Kingdom on Arbeitnow