At a Glance
- Tasks: Lead the analysis and implementation of AI-driven AML solutions to combat financial crime.
- Company: Join a forward-thinking company dedicated to innovative AML technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real difference in financial crime detection while working with cutting-edge AI technology.
- Qualifications: 8+ years in business analysis, strong AML knowledge, and data proficiency required.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
Serve as the Lead Functional Business Analyst for Tookitaki AML platform implementations focusing on customer prioritization, alert disposition, and dynamic customer risk ranking. This role combines deep AML domain expertise with data-driven insights to optimize financial crime detection and investigation processes.
Key Responsibilities
- Lead business analysis for Tookitaki AML Suite implementations
- Design customer prioritization frameworks using AI/ML risk scoring models
- Develop alert disposition strategies and workflow optimization recommendations
- Define requirements for dynamic customer risk ranking algorithms
- Analyze customer behavior patterns and risk indicators for model input
- Create business rules for customer segmentation and risk scoring
- Document functional requirements for machine learning model features
- Design user interfaces for AML analysts and investigators
- Support model validation and performance monitoring activities
- Analyze alert quality metrics and recommend model tuning parameters
- Create comprehensive BRDs, process flows, and data mapping documents
- Develop training materials and support user adoption
- Collaborate with data scientists on feature engineering requirements
Required Skills & Knowledge
- Tookitaki Expertise: Hands-on experience with Tookitaki AML Suite modules (Transaction Monitoring, Customer Risk Scoring, Alert Management)
- AI/ML Concepts: Understanding of supervised/unsupervised learning, feature engineering, model performance metrics
- Customer Risk: Expertise in customer risk rating methodologies and dynamic risk assessment
- Alert Analytics: Experience analyzing alert patterns, false positive rates, investigation outcomes
- Business Analysis: 8+ years as FBA in banking, preferably in Risk/Compliance
- Data Proficiency: Strong SQL skills, experience with data visualization tools (Tableau, Power BI)
- AML Domain: Deep knowledge of transaction monitoring, customer due diligence, suspicious activity detection
- Regulatory: Understanding of MAS AML/CFT guidelines and risk-based approach
Preferred Qualifications
- CAMS, CGSS, or equivalent certification
- Background in data analytics, statistics, or computer science
- Experience with Python or R for data analysis
- Knowledge of graph databases and network analysis
- Familiarity with feature stores and MLOps practices
- Experience with agile/scrum methodologies
- Previous implementation of AI-powered AML solutions
- Understanding of explainable AI (XAI) in financial crime context
Lead Functional BA for AI-Driven AML Risk and Alerts in Penarth employer: ACCENTURE PTE LTD
At Tookitaki, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages the exploration of AI-driven solutions in the AML space. Located in a vibrant city, we offer competitive benefits and a dynamic workplace where your contributions directly impact the fight against financial crime.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Functional BA for AI-Driven AML Risk and Alerts in Penarth
✨Tip Number 1
Network like a pro! Reach out to your connections in the AML and AI space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with Tookitaki AML Suite and any relevant projects. This can be a game-changer during interviews, as it gives you a chance to demonstrate your expertise in customer risk scoring and alert management.
✨Tip Number 3
Prepare for those interviews! Research common questions related to AML, AI/ML concepts, and business analysis. Practise your responses, focusing on how your background aligns with the role of Lead Functional BA. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific requirements of the role, showcasing your unique skills and experiences.
We think you need these skills to ace Lead Functional BA for AI-Driven AML Risk and Alerts in Penarth
Some tips for your application 🫡
Show Off Your AML Expertise:Make sure to highlight your hands-on experience with Tookitaki AML Suite modules. We want to see how your deep knowledge of transaction monitoring and customer risk scoring can contribute to our team.
Get Technical with AI/ML:Don’t shy away from showcasing your understanding of AI/ML concepts. We’re looking for someone who can design customer prioritisation frameworks, so let us know about your experience with risk scoring models and feature engineering.
Be Clear and Concise:When documenting your functional requirements and creating business rules, clarity is key. We appreciate well-structured applications that make it easy for us to see your thought process and analytical skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at ACCENTURE PTE LTD
✨Know Your AML Stuff
Make sure you brush up on your knowledge of the Tookitaki AML Suite and its modules. Be ready to discuss how you've used these tools in past roles, especially around transaction monitoring and customer risk scoring. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Data Skills
Since this role involves a lot of data analysis, be prepared to talk about your SQL skills and any experience you have with data visualisation tools like Tableau or Power BI. Bring examples of how you've used data to drive decisions or improve processes in previous jobs.
✨Understand AI/ML Concepts
Familiarise yourself with AI and machine learning concepts, especially in the context of risk scoring and alert management. Be ready to explain how you’ve applied supervised and unsupervised learning in your work, and how it can enhance AML processes.
✨Prepare for Scenario Questions
Expect scenario-based questions where you’ll need to demonstrate your problem-solving skills. Think of specific instances where you’ve had to analyse alert patterns or develop risk assessment strategies, and be ready to walk the interviewer through your thought process.
