About GoCardless
Streamlining recurring payments for businesses worldwide
Key Highlights
- Processes over $130B annually for 100,000+ businesses
- Raised $634.5M in total funding, including $312M Series G
- Operates in 30+ countries with a strong international presence
- Acquired Nordigen in 2022 to enhance OpenBanking functionality
GoCardless is a leading fintech company headquartered in Clerkenwell, London, specializing in recurring payments. With over 100,000 businesses relying on its services, GoCardless processes more than $130 billion annually across 30+ countries. The company has raised $634.5 million in funding, includi...
🎁 Benefits
GoCardless offers enhanced maternity, paternity, and shared parental pay, along with 27 days of holiday (excluding bank holidays) and a work-away sche...
🌟 Culture
GoCardless fosters a culture focused on innovation and efficiency in the subscription economy. The company emphasizes leveraging technology, such as i...
Data Scientist
Overview
GoCardless is seeking a Data Scientist to join their Fraud Prevention team. You'll develop and deploy predictive models to enhance fraud defenses. This role requires collaboration with engineers and analysts to protect the integrity of the platform.
Job Description
Who you are
You are a data scientist with a strong background in developing predictive models and a keen interest in fraud prevention. You have experience working closely with engineers and analysts to create systems that enhance security and integrity in payment processing. You understand the importance of data in driving decisions and are committed to using your skills to protect customers and businesses alike. You thrive in collaborative environments and are eager to contribute to a team that values innovation and inclusivity.
Desirable
Experience in the payments industry or with fraud detection systems would be a plus. Familiarity with AI-powered solutions and open banking concepts can help you excel in this role. You are adaptable and open to learning new technologies and methodologies that can enhance your contributions to the team.
What you'll do
In this role, you will work within the Fraud Prevention team, focusing on building systems that detect and prevent merchant fraud. You will collaborate with engineers to develop and deploy predictive models that strengthen fraud defenses, ensuring the integrity of the GoCardless platform. Your work will involve analyzing data to identify patterns and trends that can inform fraud prevention strategies. You will also engage with fraud analysts to understand the nuances of fraud detection and prevention, allowing you to refine your models and approaches.
You will be responsible for translating complex data into actionable insights that can be used to enhance the fraud prevention framework. This may involve conducting experiments to test the effectiveness of different models and approaches. You will also participate in discussions about the strategic direction of fraud prevention efforts, contributing your insights and expertise to shape the team's initiatives.
What we offer
At GoCardless, we are committed to creating an inclusive and supportive work environment. We offer opportunities for professional development and growth, encouraging you to expand your skills and knowledge in data science and fraud prevention. You will be part of a team that values collaboration and innovation, working together to tackle complex challenges in the payments industry. We believe in the importance of work-life balance and provide flexible working arrangements to support your needs. Join us in our mission to make payments easier and more secure for businesses around the world.
Interested in this role?
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