Allica Bank
Financial Services
AssociateProductEngineer
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“Associate Product Engineer at Allica Bank. Skills: Fraud detection, Machine learning, Data analysis, Product engineering. Take end-to-end ownership of fraud problem areas. Translate risks into solutions”
What You'll Achieve.
Reduce false positives; Improve recall; Ensure services are observable; Ensure services are reliable; Meet security standards; Meet auditability standards; Maintain code quality; Maintain code maintainability; Improve fraud response; Improve system reliability
Industry & Context.
Analytical mindset; Problem-solving mindset; Identify issues; Resolve issues; Root cause analysis
What They're Looking For.
Must Have
Foundation in data, Interest in machine learning, Interest in financial crime, Analytically strong, Experience analysing large datasets, Familiarity with supervised ML concepts, Familiarity with tree-based learning, Familiarity with evaluation best practices, Familiarity with explainability, Sense of ownership over data quality, Familiar with building microservices, Comfortable designing scalable solutions, Excellent communicator, Comfortable working in Agile/squad environments
Nice to Have
Familiarity with frontend development, Familiarity with third-party fraud platforms, Demonstrable experience with rule tuning, Demonstrable experience with feature engineering, Demonstrable experience with model performance optimisation
What You'll Do.
Take end-to-end ownership of fraud problem areas
Translate risks into solutions
Contribute to squad planning
Contribute to backlog refinement
Contribute to delivery ceremonies
Build AI-native tools for analysis
Analyse rule-based controls performance
Analyse ML controls performance
Reduce false positives
Support tuning of fraud controls
Support optimisation of fraud controls
Translate investigative findings into improvements
Document change rationale
Document expected performance outcomes
Stay informed on emerging ML/AI techniques
Propose new detection rules
Prototype new detection rules
Address account takeover
Address synthetic identities
Support A/B testing of controls
Support evaluation of new controls
Develop familiarity with ML concepts
Monitor fraud intelligence sources
Monitor internal data
Identify new threat patterns
Identify evolving threat patterns
Own data accuracy in fraud systems
Own data completeness in fraud systems
Identify data quality issues
Investigate data quality issues
Resolve data quality issues
Maintain data hygiene processes
Contribute to backend services
Deliver customer-facing fraud features
Build integrations with fraud platforms
Build integrations with third-party vendors
Ensure services are observable
Ensure services are reliable
Meet security standards
Meet auditability standards
Apply AI-assisted development practices
Maintain code quality
Maintain code maintainability
Apply secure coding practices
Contribute to fraud-aware system design
Ensure appropriate logging
Ensure appropriate monitoring
Ensure appropriate auditability
Assist in incident investigation
Contribute to continuous improvement
Improve fraud response
Improve system reliability
How You'll Work.
Team & Collaboration
Small, focused squad; Cross-functional teams; Squad planning; Backlog refinement; Delivery ceremonies; Customer-facing features; Risk; Compliance; Operations; Frontend engineers
Communication Scope
Translate findings; Translate proposals
Process & Methodology
Agile, Squad environments
Full Job Description
About Allica Bank Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. This role sits within the Payments Tribe, which has built Allica’s current account for established SMEs, combining modern technology with a best-in-class customer experience. The tribe is responsible for payments, current accounts, and savings propositions, and plays a critical role in enabling secure and seamless financial operations for our customers. Technology sits at the centre of Allica. We design and build the platforms that power the bank, working closely with Product, Risk, Compliance, and Operations to deliver meaningful outcomes. Our teams move quickly, take ownership end-to-end, and operate without the burden of legacy systems. Within this context, Financial Crime is a critical and fast-evolving problem space. We are building modern, data-driven fraud capabilities to protect our customers and the bank, increasingly leveraging machine learning and AI techniques alongside traditional controls to stay ahead of evolving threats. Role Description We are looking for an Associate Product Engineer to join our Fraud squad. This is an entry-to-mid level role suited to someone with a strong foundation in data and a genuine interest in machine learning and financial crime, who is eager to develop hands-on expertise in fraud detection and prevention. Reporting to the Product Engineer for Fraud, you will work closely within a small, focused squad contributing to the full lifecycle of fraud controls – from identifying a problem through to shipping a solution. Your primary focus will be on fraud rule management, data quality and integrity across fr
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