Live opening · Posted 23 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
We are looking for a SQL & Statistics Analyst to join a team working on Anti-Money Laundering and Countering the Financing of Terrorism (AML/CFT). You will analyse large datasets and apply statistical methods to support the detection and assessment of financial crime risks.
This is a great opportunity for a early-career analyst with a strong quantitative foundation. You will work on an on-premises technology stack and grow your expertise in a regulated, data-driven environment.
Key Responsibilities
Write and optimise SQL queries to extract and prepare data for analysis
Analyse datasets and test various statistical and other analytical scenarios
Support the design, tuning and validation of monitoring rules and scenarios
Identify patterns, trends and anomalies in transaction and customer data
Prepare clear reports and documentation of methodologies and findings
Ensure data quality and consistency in the datasets used for analysis
Collaborate with AML/CFT specialists, data teams and business stakeholders
Contribute to the continuous improvement of analytical approaches and processes
Requirements
1-2 years of professional experience in data analysis, SQL or a related role
Hands-on experience with SQL, preferably Oracle
Solid knowledge of statistics and quantitative methods
Degree in Statistics, Mathematics, Data Science, Economics or a related quantitative field
Ability to analyse datasets and interpret results for non-technical audiences
Strong analytical thinking and problem-solving skills
Attention to detail and a structured way of working
Good communication and teamwork skills
Willingness to analyse data across different statistical and analytical scenarios
Nice to Have
Experience with PL/SQL
Experience with a statistical or scripting tool such as R, Python or SAS
Knowledge of AML/CFT concepts or transaction monitoring
Experience in the banking or financial services sector
Exposure to model validation or scenario tuning
You will be a great candidate for us if you
Are curious about data and enjoy finding the story behind the numbers
Are positive and open to analysing datasets in different scenarios
Take ownership of the quality and accuracy of your analyses
Are motivated to build a career in financial crime analytics
Enjoy working in a team with both technical and domain experts
Benefits
Why join inventYOU
Work on meaningful projects that support the fight against financial crime
Build solid experience in data analysis within a regulated industry
Collaborate with experienced analytics and compliance professionals
Grow your expertise in SQL, statistics and AML/CFT analytics
Develop your career with exposure to complex enterprise environments
Work arrangement
No
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