Software Engineer

• 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 a wider range of scenarios
• Improving the performance of the system so even the largest datasets can be analysed efficiently
• There are 3 different sub-teams within Decision Systems, each focusing on different areas across the scoring capability within Quantexa. Specifics of the remit and differences between these teams can be shared upon request

Benefits

• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
• Tech & Cycle-to-Work Schemes

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Have experience of the full engineering life cycle, from design and implementation through to testing and deployment
• Commercial Scala experience or Functional Programming experience with languages such as Java
• Passion and drive to grow within one of the UK’s fastest growing scale-ups
• Working with big data technology, ideally Spark but others will also be useful such as Hadoop or Elasticsearch
• Experience with DevOps tooling and approaches (automation and tooling is something we are passionate about, we even have a dedicated Developer Tooling team)
• Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity