
LHV Bank · London
LHV Bank Limited is a UK-licensed bank operating across three core business segments: Retail Banking, SME Lending, and Banking Services (BaaS). The bank is a wh...
LHV Bank Limited is a UK-licensed bank operating across three core business segments: Retail Banking, SME Lending, and Banking
Services (BaaS). The bank is a wholly owned subsidiary of LHV Group, a listed financial services provider headquartered in
Estonia. LHV Bank operates under a full UK banking licence granted in May 2023.
The Bank supports over 200 fintech clients with embedded financial infrastructure, provides retail savings products via digital
channels, and offers SME credit solutions across the UK. In line with its regulatory responsibilities and growth ambitions, LHV
Bank is committed to maintaining a robust and proportionate financial crime control environment.
Expanding our services, LHV Bank now provides personal banking solutions. Our offerings include current accounts with competitive
interest rates, fixed-rate bonds for long-term savings, and debit cards. Customers can conveniently access these services through
the LHV App, enabling secure account opening and management.
We are looking for a Core Banking Platform and Product Manager who will own and evolve the bank’s core banking platform and
account model, ensuring it is scalable, well understood and supports current and future product needs.
You will define and drive product direction for accounts, aligning customer needs, product design and system capability. Be
responsible for account structures, configuration (interest, limits, rules, lifecycle), platform capabilities and constraints, and
vendor management. Build internal expertise and documentation to reduce reliance on external partners and enable other Product
Managers to deliver effectively through the platform.
This is a collaborative role where you will work closely with Engineering, Operations, Risk and Compliance to deliver
customer-ready, compliant and commercially effective outcomes.
Skills & Experience
Some of our benefits (only applicable to UK based roles not Internship programmes)
days per calendar year.
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! THE ROLE Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. WHAT YOU’LL DO * Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. * Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. * Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. * Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. * Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. WHAT EXCITES YOU * Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. * Mentoring a high-performing team and fostering a culture of technical excellence. * Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. * Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. WHAT EXCITES US * 2+ years managing Data Scientists within complex, high-stakes domains. * A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. * A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. * Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary range: £99,200 - £148,800 Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work. DIVERSITY & INCLUSION As of April 2025, we had 806 employees (GeeCees) globally, with 524 based in the UK, 163 based in Latvia and 119 across our other offices. To ensure that we're representative of the world around us - and to be able to review relevant benchmarks - we ask GeeCees to voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024). With regards to diversity within GoCardless, we can see GeeCees identifying as: Asian, Black, Mixed or Other — 25% Neurodiverse — 9% LGBTQIA+ — 9% Disabled — 1% Average age — 33 Female — 45% Male — 55% We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support. If you want to learn more, you can read about our Employee Resource Groups and objectives here Sustainability We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. Check out our sustainability action plan here. Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! THE ROLE Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. WHAT YOU’LL DO * Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. * Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions. * Raise the team’s collective bar through hands-on technical leadership and knowledge sharing. * Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless. WHAT EXCITES YOU * Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution. * An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges. * Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job. * Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. WHAT EXCITES US * You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience. * You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus). * You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers. * You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing. * You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices. Base salary range: £99,200 - £148,800 Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work. DIVERSITY & INCLUSION As of April 2025, we had 806 employees (GeeCees) globally, with 524 based in the UK, 163 based in Latvia and 119 across our other offices. To ensure that we're representative of the world around us - and to be able to review relevant benchmarks - we ask GeeCees to voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024). With regards to diversity within GoCardless, we can see GeeCees identifying as: Asian, Black, Mixed or Other — 25% Neurodiverse — 9% LGBTQIA+ — 9% Disabled — 1% Average age — 33 Female — 45% Male — 55% We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support. If you want to learn more, you can read about our Employee Resource Groups and objectives here Sustainability We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. Check out our sustainability action plan here. Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife The engineering challenge You will design and evolve the services that power core banking products. The systems you help build process thousands of financial transactions every day. They must be scalable, resilient and secure. When money moves, it has to work. Every time. But this role goes beyond implementation. You will shape technical direction. Influence cross-team initiatives. Own complex, high-impact work from concept through to production. You will help decide not just how we build, but what we build and why. This is senior in impact, not just title. We’re growing across several of our product-engineering tribes at Zopa, with current opportunities in Current Accounts, Lending, Credit Cards and Product Enablement. We care deeply about great engineering, which is why our core stack is Kotlin, running on a modern platform with Kafka, Kubernetes, Docker and AWS Aurora Postgres. But great engineers aren’t defined by a single language which is why we are agnostic with our hiring. We want the right people, not the 'right' language, so if you come from a C#/.NET background, bring solid fundamentals, and have an appetite for learning something new, we’ll invest in you, help you grow your skills and confidently step into our Kotlin ecosystem.