Strategy Analytics Manager Job London area,Greater London England UK,Business

Location: Greater London

ABOUT LENDABLE

Lendable 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 people
Among the fastest-growing tech companies in the UK
Profitable since 2017
Backed by top investors including Balderton Capital and Goldman Sachs
Loved 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 TO

Take 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 1

Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

THE ROLE

We 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 ROLE

OPERATIONS MI, KPI AND CUSTOMER OUTCOME METRICS OWNERSHIP

You will have full accountability for Operations management information and performance reporting.

You will:

Own MI across front‑office and back‑office Operations departments
Define and govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomes
Ensure operational efficiency is balanced with fair, timely and effective outcomes for customers
Identify where operational processes or service performance are creating customer friction, repeat contact or poor outcomes
Ensure reporting is accurate, consistent and trusted by senior leadership
Develop strategic north‑star metrics that show whether Operations is becoming more effective and scalable
Move the function beyond retrospective reporting towards forward‑looking insight and decision support

WORKFLOW OPTIMISATION AND OPERATIONAL STRATEGY

You 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 workflows
Work with Transformation and Product to define which problems and opportunities to pursue
Identify the lowest‑hanging fruit and quantify the potential operational and customer value
Recommend improvements to processes, routing, tooling, products and ways of working
Define clear hypotheses, baselines and success measures before changes are implemented
Measure realised impact precisely and determine whether initiatives should be scaled, adjusted or stopped
Translate analysis into clear decisions, actions and ownership

DEMAND, SLAS AND RESOURCING

You will own the analytical cycle supporting operational planning and performance decisions.

This includes:

Understanding changes in demand and customer contact behaviour
Supporting forecasting, capacity and headcount decisions
Evaluating SLA and service‑level trade‑offs
Measuring throughput and productivity consistently

Identifying emerging risks or operational pressure points
Helping leaders make evidence‑based prioritisation and resourcing decisions

You will be expected to explain not only what happened, but why it happened, what should change and how success should be measured.

AUTOMATION, AI AND STRATEGIC…