Senior Financial Crime Analyst-Analytics
- Recruiter
- MBN Recruitment Solutions Ltd
- Location
- Edinburgh
- Salary
- 34800.00 GBP Annual + + bonus + benefits
- Posted
- 10 Feb 2017
- Closes
- 23 Feb 2017
- Sectors
- Accountancy
- Contract Type
- Permanent
- Hours
- Full Time
Opportunity for an experienced analyst with strong analytical skills and commercial experience using SAS or SQL to join of the leading Financial Institutions in Edinburgh. The role will sit in the analytics part of the bank's wider Financial Crime team.
The Senior Financial Crime Analyst will:
- Join a team whose purpose is to minimise financial crime exposure, both for the bank or its customers.
- Assist in implementing and maintaining rules for identifying and profiling key risks, such as money laundering, terrorist financing, human trafficking and vulnerable persons.
- Interrogate source data through the Bank's data warehouse to identify trends for further analysis.
- Preparation of Management Information to inform senior stakeholders of rules performance.
The Senior Financial Crime Analyst will need to have:
- Commercial experience with SAS or SQL, or another data management tool.
- Ability to structure, interpret and assess data, both in raw form or as collated by others.
- Strong analytical skills.
- Ideally experience working in a financial crime environment.
The Senior Financial Crime Analyst will:
- Join a team whose purpose is to minimise financial crime exposure, both for the bank or its customers.
- Assist in implementing and maintaining rules for identifying and profiling key risks, such as money laundering, terrorist financing, human trafficking and vulnerable persons.
- Interrogate source data through the Bank's data warehouse to identify trends for further analysis.
- Preparation of Management Information to inform senior stakeholders of rules performance.
The Senior Financial Crime Analyst will need to have:
- Commercial experience with SAS or SQL, or another data management tool.
- Ability to structure, interpret and assess data, both in raw form or as collated by others.
- Strong analytical skills.
- Ideally experience working in a financial crime environment.