Complaints Officer (Kent)

Lendable
Rochester
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Digital Marketing Executive (CRO)

Data Science Manager

Information and Data Governance Lead

Senior Machine Learning Engineer - Canva UK

Lead Quant Strategist Artificial Intelligence (AI) Research Engineer

About Lendable

Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier.
> We're building one of theworld's leading fintechcompanies and are off to a strong start:
> One of theUK's newest unicornswith a team of just over 400 people
> Among thefastest-growingtech companies in the UK
>Profitablesince 2017
> Backed by top investors includingBalderton CapitalandGoldman Sachs
>Lovedby customers with the best reviews in the market (4.9 across 10,000s of reviews onTrustpilot)

So far, we've rebuilt theBig Threeconsumer 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 insmall teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
> Build thebest technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting


About the role

As we grow, we're looking for a Complaints Officer to help usinvestigate and resolveour more complex customer interactions. As anexcellent communicator,you will quickly build relationships with customers and other departments across Lendable to understandcustomer friction pointsand come to fair and objective decisions.

Your team's objectives

Lendable aims to resolve all complaints promptly, ensuring that they are investigateddiligentlyandfairlyfor customers. Lendable is committed to providingexcellent customer serviceand ensuring that it reaches the right outcomes for our customers.

Feedback is an important partof how we can evolve as a business to ensure that we are meeting our customers' expectations and continuously improving our service and the team is encouraged to speak up, take each complaint on its own merits andprovide valuable insightsto the business in order toimproveandgrow.

Our ability to handle complaints effectively for our customers, and therefore to the benefit of us as a business, has never been more important than now; as we expand our existing products in the UK and US financial markets.

How you'll impact those objectives

The ideal candidate will have experienceresolving complex customer interactionsordisputesand have an aptitude forinvestigating,analysing,problem-solvingand dispute resolution. You'll work closely with the Complaints Team, to resolve complaints about our loans, cards and auto-finance products.

You will be responsible for communicating with the complainant* and will enjoy finding solutions that meet our customers' expectations, within the parameters of what we can do as a regulated business, and will be able to formulate professional final responses. You will also help totranslate customer complaints into product and process improvementsboth across the rest of the operations team, and Lendable as a business.

The ideal candidate will havecomplaints or dispute-handlingexperience from within aregulated business environment.

The Interview Process

  • A quick phone call with one of the team
  • An exercise to demonstrate your ability to resolve complaints
  • Onsite Interview
  • Meet the team you'll work with daily

Life at Lendable (check out ourGlassdoor page)

> The opportunity to scale up one of theworld's most successfulfintech companies.
>Best-in-classcompensation, including equity.
>You can work from homeevery Monday and Fridayif you wish - on the other days we all come together IRL to be together, build and exchange ideas.
>Our in-house chefprepares 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 toprivate health insurance
> ?We're anequal opportunity employerand are looking to make Lendable the most inclusive and open workspace in London

Check out ourblog!



ngWVWJcGWybLecMmgF2BkQ

PI248018231

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.