We are seeking a highly skilled
Data Scientist
to join our Financial Crime Surveillance team. This role is critical in driving advanced analytics, machine learning, and AI solutions to proactively detect and prevent financial crime. You will work at the intersection of data science, risk management, and compliance, helping us stay ahead of evolving threats.
Key Responsibilities
Conduct
threat hunting, portfolio analysis, and network analysis
to identify suspicious patterns and behaviours.
Develop and deploy
predictive models
to inform risk-based decision-making.
Apply
machine learning, generative AI, NLP, and LLMs
to enhance surveillance strategies.
Build and refine
automation tools and scripts
for large-scale data analysis.
Perform
risk assessments, FTE modelling, and resource optimisation
.
Analyse
financial crime trends




and provide actionable intelligence.
Ensure
data quality and integrity
across upstream and surveillance systems.
Create compelling
visualisations and data-driven narratives
for stakeholders.
Key Requirements
3–5 years of industry experience in
generative models, deep learning, reinforcement learning
.
Strong background in
NLP, LLMs, GenAI, OpenAI, Microsoft Cognitive Services
.
Advanced programming skills in
Python, R, SQL
; experience with
SAS and PowerBI
desirable.
Proven ability to
mentor and lead teams
.
Familiarity with
AML, KYC, FATF regulatory frameworks
.
Solid communication and collaboration skills.
#J-*****-Ljbffr

📌 Data Scientist - Financial Crime (Sydney)
🏢 eTeam
📍 Sydney