Backend Engineer - Customer Risk Monitoring (MLOps Growth Path)

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.

We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.

We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

Your Team

The Customer Risk Monitoring team, part of the Acceptance group, is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from exposure to financial risks, including fraud and money laundering. Our goals are to minimise financial losses to Teya while maintaining customer trust and ensuring compliance with regulatory requirements. This team aligns very closely with the Ops teams investigating suspicious activities. This is a growing team with great opportunities for career progression for motivated engineers.

As backend engineer in this team you will be expected to work very closely with engineers, data scientist and the team leadership to delivery our ambitious roadmap for fraud and AML risk monitoring.

You will work on projects such as setting up the infrastructure for real-time fraud detection and automated decision so that we can enable faster settlements cycles for our merchants, re-engineering of our fraud operations platform, building and integrating of tools to allow faster deployment, monitoring and operationalisation of our analytical models and much more.

For this role, we are happy to consider candidates who have a background in backend engineering and want to pivot and gain experience into MLOps, as long as you are keen and happy to put in the work to learn!

Your Mission

As a backend engineer in the Customer Risk Monitoring team you will :

• Join in the early stage design of a platform for real time risk evaluation and automated decision.
• Build high quality solutions using technologies such as Go, Python, Kafka, Docker, and Kubernetes.
• Work collaboratively to deliver scalable platforms and services to build and execute advanced predictive models.
• Gain hands-on experience and develop expertise in MLOps practices, working alongside experienced engineers and data scientists.
• Work with best in class tools for observability, monitoring, and analysis.
• Help build a culture of quality and delivery.
• Be an advocate for best practices in coding, processes and ways of working.

Your Story

• Some experience in platform and backend engineering. We are open to considering junior and mid-level engineers with varying levels of experience.
• Passionate about solving problems in code using data structures and algorithms and advocating best coding practices.
• Understanding of software system design, including ideally object-oriented, functional, and distributed design principles.
• Demonstrable interest in MLOps and an enthusiasm to learn and contribute to this area. Prior experience is a plus but not required.
• Able to work autonomously with little supervision.
• You can demonstrate proactiveness and thrive in a highly collaborative environment.
• Excellent verbal and written communication skills and ability to collaborate effectively with technical and non-technical stakeholders.

The Perks

• Health Insurance;
• 25 days of Annual leave (+ Bank holidays);
• Flexible working hours, as long it suits both you and your team.

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