3 jobs

WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers.  If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. Key Responsibilities 1. Operations This is a consultant role for a duration of 6-9 months Partner with people team and other relevant teams in the organisation to ensure that payroll related documentation is up to date and accurate....

About Our Team Meet the People Direct team. Our role is to provide first class support for Nordea employees and leaders with HR, salary and system related questions. Our team consists of passionate, ambitious and ready to take action colleagues. We are focused on development and to provide employee service with the highest quality and service culture. The lively and collaborative atmosphere offers plenty of opportunities to learn and grow as you build your career with us. Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us. About The Role We are seeking an experienced and detail-oriented Senior Payroll Expert to join our team in Sweden. In this role, you will take ownership of end-to-end payroll operations while ensuring full compliance with Swedish legislation, collective bargaining agreements (CBAs), and internal policies. You will serve as a trusted subject...

What You Will Do As a Senior Data Scientist within our Open Banking team, you will build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure. Who You Are Experience building and deploying machine learning models end to end, from raw data to production Strong feature engineering skills, ideally with...