Allica Bank
Financial Services
AssociateProductEngineer
“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
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