Position Details

Salary $71K – $123K USD / year

Type Not Specified

Experience mid

Exp. Years 2+ years

Education Not specified

Category Data & Analytics

About this role

This role involves analyzing AML data, developing risk rating models, and collaborating with product and engineering teams to ensure AML compliance and automation.

Key Responsibilities

Lead AML risk rating development
Conduct data analysis
Collaborate with engineering teams
Support AML compliance testing
Drive automation within KYC processes

Technical Overview

The technical environment includes SQL, Python, Hadoop, Spark, Tableau, and data warehouse architecture, focusing on AML data analysis and automation.

Ideal Candidate

The ideal candidate is a mid-level data analyst with at least 2 years of experience in AML policies, data analysis, and SQL. They should have strong communication skills and experience with visualization tools like Tableau to support AML risk rating processes.

Must-Have Skills

SQLAML policiesData analysisExcelPythonData warehouse architecture

Nice-to-Have Skills

TableauHadoopSparkData lineageData mapping

Tools & Platforms

TableauGenAI

Required Skills

SQLAML policiesData analysisExcelPythonTableauHadoopSparkData warehouseData lineageData mapping

Hard Skills

SQLStructured Query LanguageExcelAdvanced ExcelPythonSparkHadoopData analysisAML policiesAML Risk RatingData analysisData warehouse architectureData lineageData mappingData analysis toolsTableau

Soft Skills

CommunicationRelationship buildingInfluencingEffective communicationCollaborationProblem-solving

Industry & Role

Industry E-commerce

Job Function Data analysis and AML compliance support

Role Subtype Data Analyst

Tech Domains SQL / PostgreSQL, Python, Tableau, Hadoop, Spark

Keywords for Your Resume

KYC Data AnalystAML policiesAML Risk RatingData analysisSQLPythonExcelTableauHadoopSparkData warehouseData lineageData mappingData analysis toolseBay

Deal Breakers

Lack of AML policies knowledge, No SQL experience, No data analysis experience, No experience with data warehouse architecture

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