Description
Advanced Analytics/Data Manager - Data Solutions
Location: Dublin
Rate €550 - €700 p/d
Our client a leading bank is looking for an experience Data/Advanced Analytics Manager to manage the Data Solutions & Analytics portfolio.
The Data Solutions & Analytics portfolio is a new function within Group Internal Audit with the responsibility for:
- Design and execution of the division's data and analytics strategy
- Design, development and deployment of Group wide advanced analytics risk management and assurance solutions.
- Build out and development of GIA's strategic analytics architecture; and
- Driving the capability and training strategy to embed data and analytics skills across GIA.
You will be required to deliver end to end projects within the data and analytics strategy, utilising Agile principles and contribute towards driving Group Internal Audits utilisation of advanced analytics techniques (such as machine learning and natural language processing) to drive risk management activities across the Group.
Key Accountabilities
- Design and development of multi-component analytical solutions, from initial engagement workshops through to solution deployment
- Utilisation of advanced analytical techniques (ie supervised and unsupervised machine learning, natural language processing etc.) to drive business insights and proactive risk management across the Group
- Design and development of management information solutions (ie end user reporting dashboards) to present data driven insights to end users
- Contribute towards Group Internal Audits data & analytics strategy and the Data Solutions & Analytics portfolio through the identification of new value add data exploitation and continuous improvement opportunities
- Promote awareness of data analytics, emerging industry trends (incl. regulation) and a digital future across Group Internal Audit
- Collaborate with colleagues (within GIA and across the Group) to eliminate silos, drive and embed data analytics approaches and develop best practice approaches
- Contribute to a creative culture centered on an agile environment, value prioritisation and design thinking
Essential Qualifications:
- Third Level qualification, in computational science, computer science, mathematics, statistics or another discipline including a significant quantitative element
Essential Skills & Experience:
- Significant experience in the end to end development of business relevant advanced analytics solutions
- Proficient in applying supervised and unsupervised machine learning methods such as logistic regression, decision trees, neural networks, graph analytics, clustering etc. to real world business problems
- Proficient in leveraging applied statistics and mathematics to test complex hypotheses across a wide variety of functional domains
- Experience in developing and validating machine learning models through SAS Enterprise Miner, Python or pySpark
- Proficient in the development of advanced analytics solutions in one or more of the following functional domains: risk, anti-money laundering, IT, finance or marketing/customer analytics.
- Proven experience in leveraging SQL to acquire, transform and extract insights from large scale complex datasets
- High level of discretion, capable of dealing with highly confidential and sensitive information
- Excellent time management and organisational skills with the ability to work on own initiative
- Strong attention to detail and high levels of accuracy and a strong team ethic and flexible approach in order to meet challenging objectives and deadlines.
Desirable Qualifications, Skills & Experience:
- Experience in applying analytical techniques to semi-structured and un-structured datasets
- Knowledge of the Cloudera Hadoop platform, and associated analytical tools (ie pySpark)