Software Development Engineer - Payment Intelligence team
GoCardless
The role Our mission as the Payment Intelligence team is to augment our bank payments product with intelligent data products that differentiate our offering and increase our win rates. Our focus areas are our existing products, Success+ and Protect+. This means creating market‑leading payment recovery rates and fraud prevention products. Improve payment recovery rates for failed Account to Account payments. Improve fraud detection rates of our ML models and rules based systems. Improve the consumer authentication flow experiences for high risk payments. As an engineer, you will be actively working on projects that help grow the adoption of these products while improving the experience of using the same and coming up with ideas for new product features in this space. You will be aided and supported in this journey by a team of super talented and motivated engineers. This is a unique and high‑profile opportunity for you, as an engineer, to work on building one of GoCardless' major revenue streams in the coming years. What excites you You have a growth mindset , motivated by driving concrete business outcomes. You adapt to new technologies and processes quickly. You thrive in a collaborative environment and believe the best products are built through collaboration. You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn. What excites us You have strong programming experience with Ruby and/or Python . You want to solve problems that will drive revenue growth and will have an impact on the engineering technical vision. You effectively collaborate with other engineering teams and business stakeholders. You have a product ownership mindset and can work with other functions in the team to come up with ideas for product features. Base salary range: 2,933-4,400 EUR gross 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 Equity - all permanently employed GCs get equity to help you make a valuable contribution 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') #J-18808-Ljbffr
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$2,500 per month
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...one day. A member of our recruitment team will provide more details. Job Summary MUFG is seeking a Senior Software Engineer with payment check processing experience. In this role... ...system from FIS Application development experience on data platforms, leveraging...Work at officeLocal areaRemote work- ...data points across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Data and research teams transform raw data into strategic intelligence for clients ranging from top investment... .... Position Senior Software Engineer – 2 openings (Infrastructure...IntelligenceWork at officeRemote workFlexible hours
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...are transforming drug discovery and development. Roche's Research and Early... ...transformative power of data and Artificial Intelligence (AI) to assist our scientists in... ...discovery. We are seeking an exceptional Software Engineer to join the team building our next-generation...IntelligenceLocal areaWorldwideRelocation package- ...Associate Applied AI/ML Scientist to leverage artificial intelligence and machine learning technologies to enhance payment processes and customer experiences. You will... ...pipelines, collaborating with cross-functional teams to identify AI/ML opportunities. The ideal...Intelligence
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