Strategy Analytics Manager

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 most exciting unicorns with a team of over 800 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: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

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

We are hiring a Strategy Analytics Manager or Senior Manager to own the analytics function dedicated to our Operations department. 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 where you will lead a small team while personally delivering high-priority analysis using SQL and Python. 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 alongside collaborating closely with directors and heads-of across our operational teams.

Core Responsibilities

1. Operations MI, KPI and customer outcome metrics ownership You will have full accountability for Operations management information and performance reporting. You will: Own data 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

2. 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

3. 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.

4. Automation, AI and strategic measurement You 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 metrics

Measure time saved, quality improvements, risk reduction and customer impact

Identify unintended consequences or displacement of work

Prioritise automation opportunities based on value and feasibility

Ensure claimed benefits are supported by credible measurement

You 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.

What We Are Looking For

1. Technical requirements You must be highly hands-on and comfortable working directly with data. Very strong SQL and Python

Experience working with APIs

Advanced Excel and strong 80/20 analytical judgement

Understanding of semantic data models and good analytics engineering practices

Basic statistics, experimentation and causal measurement knowledge

Understanding of Data Science, automation and LLM principles

dbt experience is helpful but not essential

2. Leadership and stakeholder skills Strong commercial and operational judgement,

Able to translate complex analysis into simple business decisions

Excellent stakeholder management skills, comfortable influencing and constructively challenging senior leaders

Capable of working at pace across several competing priorities

Life at Lendable Winning team: the opportunity to scale up one of the world’s most successful fintech companies

Flexible 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-sites

Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

Health coverage: support for your physical and mental wellbeing, including private health cover

Retirement & savings: long-term financial wellbeing through retirement savings plans

Employee referral programme: earn a competitive bonus when you refer successful new team members

Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please 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 !