Senior Software Engineer - Graph Analytics for Snowflake

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.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.  The Role  You will join one of our established high-performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product-focused initiatives, to expand and scale up our industry's leading Sportsbook and Risk Management products.  One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting.  How will you work?  Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.    We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.  If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.    As a Senior Software Engineer 1 (SR1)  you and your team will build highly distributed, real-time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry-revolutionising product. You will lead execution of multi-sprint features or systems with measurable business impact.    We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation.     What skills do you have?  * You will have expert level knowledge of at least one object-oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++)   * Flexibility to work on all areas of the service stack, front-end, back-end, infrastructure etc.  * You will have a strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling.  * You will have strong software architecture knowledge, including architectural patterns and how to apply them to highly-scalable, fault-tolerant, observable microservices and systems.  * You will have detailed knowledge of testing methodology (TDD) and designing high-quality testing suites resilient to changes in implementation.     * You will have experience of source control, continuous integration, pipeline design, containerised workloads and infrastructure as code.    * You will have experience in messaging and asynchronous communication technologies (RabbitMQ, Pulsar)  * Understanding of Data Structures, Databases and Caching Technologies  * You bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.  * You will have experience in mentoring engineers both within and outside the immediate team.    It is advantageous for you to have knowledge of the following:   * You will have expert knowledge of C#   * Operation of Kubernetes Clusters   * Building cloud native applications (AWS)  * Front-end web technologies  (React, shadcn)   * Domain Driven Design   * Mathematical Aptitude, particularly statistics   * Data Engineering skills  * Experience in building production grade software with Agentic AI  What we expect from our co-workers   * Curiosity and strong desire to learn and improve.   * Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.  * Time management and asynchronous communication skills relevant for a remote-first engineering organization.  * Enthusiasm and ability to work collaboratively within a team.  * Excellent spoken and written English.  * Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement.     We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.