
Manager - Financial Crime Analytics-2
4 days ago
**You are **a curious and enthusiastic individual with a true passion for data analytics
**We are **a value driven team who support financial crime technology projects
**Together we can **harness the power of Data Analytics & Insights to identify solutions for our customers and communities to help build a brighter future and really make a difference
**_See yourself in our team _**
Financial Crime Analytics (FCA) is part of the Financial Crime Compliance team and is responsible for the maintenance of and enhancements to the Group's AML systems by way of data modelling and continual systems optimisation.
We are responsible for analysing financial crime data, implementing detection strategies which mitigate risk and preventing financial crime.
**_Do work that matters _**
Our team has a new strategy and has embarked on a journey from good to World Class. We aim to be World Class in capability, provide support, build and enhance sustainable and effective financial crime capability and operations within the Group, to ensure compliance and effective risk management.
Your role will ensure our customer risk models are kept up to date, and you will be responsible for identifying and implementing continuous improvement opportunities and ensure any impacts are communicated and managed effectively.
You will lead engagements with projects, provide requirements and assist with testing and change management activities.
**_On a day-to-day basis, you’ll: _**
- Manage model development and lead analysis on continual improvements to the Group’s customer risk models
- Lead analysis and recommend strategies to manage emerging trends
- Actively detect and manage emerging events, ensuring strategies are implemented which effectively manage associated risk.
- Drive operational cost efficiencies through improvements to model accuracy and making sure the associate risk is still managed.
- Build effective working relationships within Group Operations and Risk Management.
- Ensure that clear and concise documentation is produced by the team.
- Provide insights into trends and anomalies - including root cause analysis.
**_We’re interested in hearing from people who have: _**
- Proven experience in using **SAS, SQL, R, and Python, **along with knowledge of best practice coding practices
- Experience with collaborating with data analysts and providing technical guidance and insights.
- Experience in building analytical solutions or models to drive measurable business benefits
- Knowledge of statistical and machine learning techniques
- Ability to adapt and accept business concepts quickly
- Experience managing work relationships and business stakeholders.
- Knowledge and experience in financial crime or risk management in financial services.
- Tertiary qualifications in a numerate or IT based discipline.
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Advertising End Date: 19/11/2024
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