Responsibilities
· Analyze and work with business units on reported issues/queries relating to compliance surveillance systems;
· Processing and analyzing data related to AML/CFT investigations;
· Tuning and optimization of compliance surveillance systems;
· Tuning and optimization of Machine Learning Models in Compliance;
Skills/Requirement
· Degree or Diploma in Software Engineering, Computer Engineering or Electrical Engineering;
· Ability to work independently with R, Python and SQL and ability to process large volume of data;
· Basic understanding of Rules Based and Machine Learning models;
· Dashboard – either PowerBI/Tableau/Qlik;
· Experience in AML/CFT;
· Familiarity with SWIFT transactions and/or sanctions screening is advantageous;
· Excellent interpersonal, communication skills and able to function with multiple teams;
· Proactive with a go-getter attitude.
Desired Skill-set
· Experience in Banking Industry.
Interested applicants may submit your detailed resume to [email protected] .
We regret to inform that only shortlisted candidates will be contacted.
