Live opening · Posted 6 days ago
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Position Overview
We are seeking an experienced Senior Data and Business Analyst (Financial Crime & AML Analytics Specialist) to bridge the gap between compliance business domain requirements and technical data infrastructure. In this role, you will lead end-to-end business analysis (BRDs, FRDs, User Stories) while executing complex SQL-driven data engineering tasks, source-to-target validations, and data quality investigations across enterprise compliance platforms.
The ideal candidate brings deep domain knowledge in AML, KYC, CDD/EDD, Sanctions, and Transaction Monitoring alongside strong technical capabilities in SQL, Modern Data Lakes (Databricks, Snowflake), ETL tools, and specialized FinCrime platforms (NICE Actimize, FircoSoft, Oracle FCCM/Mantas, Chainalysis).
Key Responsibilities
1. Business Analysis & Requirements Engineering
Collaborate with compliance, risk, and fraud operations teams to translate complex regulatory mandates into actionable business requirements.
Author clear, detailed BRDs, FRDs, PRDs, process flow diagrams, and Agile user stories with comprehensive acceptance criteria.
Lead User Acceptance Testing (UAT), manage defects, perform root cause analyses, and drive solution validation in Agile/Scrum environments using JIRA and Confluence.
2. Data Analytics, Validation & Quality Engineering
Perform high-level SQL data analysis utilizing complex joins, reconciliation queries, and performance tuning to validate transaction and customer datasets.
Execute Source-to-Target (STT) validations, ETL testing, and data quality investigations to ensure reporting accuracy across modern data lakes.
Build automated executive dashboards and operational KPI reports using Power BI and Excel to optimize compliance decision-making and operational workflows.
3. Financial Crime & Compliance Operations Support
Partner with FinCrime operations teams to analyze transaction monitoring patterns, sanctions screening effectiveness, and account takeover (ATO) fraud trends.
Support data pipelines and integrations for core Financial Crime platforms including NICE Actimize, FircoSoft, Oracle FCCM (Mantas), and SAS AML.
Support crypto-asset risk tracking and blockchain analytics pipelines utilizing Chainalysis and Elliptic.
Required Qualifications & Experience
Professional Experience
4.5+ years of hands-on experience in Data Analytics and Business Analysis focused on Financial Crime, Anti-Money Laundering (AML), KYC, and Fraud risk management within BFSI or FinTech sectors.
Technical Skills & Tools
Advanced Database & SQL Skills: 4+ years writing complex SQL joins, reconciliation scripts, and query performance tuning.
Modern Data Stack & Lakes: 3.5+ years of experience with Snowflake, Databricks, Data Lakes, and Cloud Data Platforms (AWS / GCP).
ETL & Data Integration: 4+ years of hands-on experience with Informatica, SSIS, and structured ETL validation pipelines.
BI & Reporting: Proficiency in Power BI, advanced Excel, and automated KPI dashboard creation.
Domain Expertise & Platforms
Financial Crime Systems: 4+ years of hands-on operational or analytics experience with NICE Actimize, FircoSoft (along with LexisNexis), and Oracle FCCM / Mantas or SAS AML.
Blockchain Analytics: Working exposure to Chainalysis or Elliptic for crypto-compliance tracking.
Domain Knowledge: Deep understanding of CDD/EDD procedures, PEP/Sanctions screening, SAR documentation, and transaction monitoring alert optimization.
Work arrangement
Yes
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