Senior Forensic Data Analyst
We bring together extraordinary people, like you, to build a better working world.
As our Senior Forensic Data Analyst you’ll provide advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes, and litigations. It will involve developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. You will be:
- Working with clients in various industries, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations
- Communicating with clients to scope projects and gather requirements
- Highlighting and explaining the outputs of our analytics to clients in the context of their business
What we’re looking for
Here’s our ‘wish list’ but don’t worry if you don’t tick all the boxes. We’re interested in your strengths, what you want to learn, and how far you want to go.
- 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
Ideally, you’ll also have:
- Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience
- Organisational ability, people skills and project management potential
- Previous consulting experience and experience with:
- Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;
- Data visualisation software: Spotfire, Tableau, or Power BI;
- Azure cloud computing platform;
- Big data technologies such as Spark, Elasticsearch, Hadoop;
- Statistical techniques (regression, clustering etc.);
- Machine learning and pattern recognition;
- Front-end web development e.g. HTML, JavaScript;
What we can offer you
- Explore how a career at EY is yours to build at
- Discover how, when and where you can work at
- Learn about our commitment to DE&I at
- Discover the various ways our benefits can cater to your needs, across wellness, financial wellbeing, and family-friendly policies which include 26 weeks gender neutral paid parental leave at
- We offer a competitive salary which is open to negotiation pending on skills and experience.
The minimum salary for this role is AUD $92,500 inclusive of superannuation and dependent on skills and experience.
Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.