Ideal Candidate
The ideal candidate is a mid-level quantitative risk analyst with 4+ years in AML modeling, strong coding in Python/SAS/SQL/R, and experience with Actimize and Lexis Bridger, capable of turning analytics into actionable risk decisions.
Must-Have Skills
Bachelor's degree in EconomicsFinanceStatisticsMathematicsActuarial Sciencesor other quantitative discipline4 years related quantitative analysis experience4 years of experience with PythonSASSQLor RExperience with Transaction Monitoring platforms (Actimize) and screening systems (Lexis Bridger)
Nice-to-Have Skills
Master's degree or PhD in a quantitative fieldAdvanced knowledge of statistical and machine learning models8+ years of hands-on coding experience
Tools & Platforms
ActimizeLexis Bridger
Hard Skills
AML modelingTransaction Monitoring (Actimize)Lexis Bridger Screening SystemsCustomer Risk ScoringAnalytical content creationModel validationStress testingPythonSASSQLR
Soft Skills
CommunicationStakeholder managementData-driven decision makingTeamwork
Keywords for Your Resume
Quantitative Risk AnalystAML ModelingUSAAActimizeLexis Bridgercustomer risk scoringtransaction monitoringstress testingmodel validationPythonSASSQLRdata-drivencross functionalregulatory mandatescompliancestress test scenariosmodel riskgovernanceaml modelingquantitative risk analysisactimizelexis bridgerpythonsassqlr
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile