Remote Dev Jobs
2 jobs available
Quantexa · 🇬🇧 London, United KingdomRemote57y ago
What we’re all about. Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. Opportunity As a Software Engineer at Quantexa, you’ll play a key role in shaping one of the most critical components of our Decision Intelligence platform: Decision Systems. The Decision Systems team is responsible for turning complex, interconnected data into actionable insights — helping global organizations detect patterns, uncover risks, and make smarter decisions. You’ll work across the software stack, from enhancing our scoring capabilities to uncover financial crime, to building tools that make detection logic easier and more powerful for our users. Your work will directly influence how clients identify suspicious activity and protect their businesses. This isn’t just about coding, stakeholder management will be a growing focus of this role. You’ll have the autonomy to take features from concept to release, collaborating closely with product teams and delivery experts to design solutions that make a real impact. You’ll be part of a talented, supportive team that values innovation, knowledge sharing, and continuous improvement. The role is focused on software development using the latest in agentic AI tooling. Typical tasks in the team are: Building new tooling to allow users to configure detection logic more easily and effectively Enhancing the platform so that existing Scores can be applied across
Quantexa · 🇬🇧 London, United KingdomRemote57y ago
What we’re all about. It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team. If our incredible culture sounds like you, we’d love you to join us. What will you be doing? You’ll be joining the Applications team, which is an Engineering function within Quantexa’s R&D department that is focused on internally building real-world applications of the Quantexa Platform. This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments. It encompasses four distinct sub-teams: Data Engineering Accelerators: Developing Quantexa’s libraries for cleansing, parsing and standardising data used in entity resolution Finding efficiency/performance improvements through big data testing and building performance tooling Owning best practices in entity resolution and network building Data Feeds: Building standardised and reusable code for processing various third party/open source data sets Managing an internal data lake for the provision of this data by other teams for testing and analytics Owning general best practices for in