Analityk

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 liftingAbout the teamLendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products.Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering.

About the Role

You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.Join us if you want toWork in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own modelsBe resourceful to solve problems and find smarter solutions than the status quoWork closely with other members of the team that will support developing your technical expertise and domain knowledgeOur team's objectivesThe pricing team owns the loans funnel analytics and pricing strategyWe work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutionsHow you'll impact those objectivesLearn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute valueResearch and propose improvements to our existing pricing strategies and modelling methodologyWork closely with the credit team to align pricing decisions with credit risk and underwriting strategyClearly communicate results to stakeholders through verbal and written communicationShare ideas with the wider team, learn from and contribute to the body of knowledgeKey SkillsExperience using Python (pandas, numpy, scikit-learn) and SQLTheoretical understanding of core ML techniques and statistical principlesStrong numerical and analytical skills, comfortable working with large datasetsConfident communicator and contributes effectively within a team environmentSelf-driven and willing to take ownership of specific tasks and analyses1-2 years' experience in a technical, analytical or data-focused roleNice to HaveExposure to credit risk or financial datasetsInterest in Data EngineeringPrior experience with financial or pricing modellingThe interview processA phone call with one of the teamVideo Call case study (Remote)Onsite InterviewCulture InterviewMeet the team you'll work with dailyLife 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

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