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About the Role
The Forensic Data Analytics team within EY's Forensics & Integrity Services provides advanced analytics to support high-profile client matters including fraud detection, investigations, financial crime, disputes, and litigation. The role involves developing data solutions to monitor data for regulatory and compliance risks using forensic investigation knowledge, data engineering, and data science techniques.
Responsibilities
- Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations
- Communicate with clients to scope projects and gather requirements
- Highlight and explain the outputs of our analytics to clients in the context of their business
- Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery
- Handle a large amount of structured and unstructured data from a variety of data sources
- Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI
- Supervise the work of junior team members and be responsible for quality control of work products from the team
- Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime
- Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues
- Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients
- Align to various strategic teams in the areas of technology, innovation and business development
Requirements
- Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience
- Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript
- Ability to work independently, manage work products and mentor junior team members
- Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data
- Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds
Skills
- SQL
- Python
- Azure data factory
- Databricks
- Visualization techniques
- R
- C#
- JavaScript
- Relational databases
- SQL Server
- PostgreSQL
- Oracle
- MySQL
- Data visualisation software
- Spotfire
- Tableau
- Power BI
- Azure cloud computing platform
- Big data technologies
- Spark
- Elasticsearch
- Hadoop
- Statistical techniques
- Regression
- Clustering
- Machine learning
- Pattern recognition
- Front-end web development
- HTML
- JavaScript
Education Level
- Degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience
Benefits
- Competitive remuneration package
- Support for flexible working
- Career development support
- Flexibility to select benefits
- Support and coaching from engaging colleagues
- Opportunities to develop new skills and progress career
- Freedom and flexibility to handle role
About the Company
- EY is a global leader in assurance, tax, transaction and advisory services.
- EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
- Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
- EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
- Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.