Transaction Monitoring Analyst

hrindiasolutions.co.in; Kolkata District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

HR India Solutions seeks an Analytics Specialist in Transaction Monitoring within the Risk and Compliance department. The role demands 3+ years of AML monitoring experience in banking or consulting, plus strong SQL and Python skills to analyse large transactional datasets and detect typologies.

You will validate monitoring scenarios, support governance and documentation, and build dashboards for stakeholders. Collaboration across risk, compliance, and technology is essential.

Qualifications

• 3+ years of AML transaction monitoring experience in banking or consulting.
• Strong understanding of AML typologies (structuring, layering, mule accounts, TBML, cross-border risks).
• Hands-on experience in SQL for data extraction and transformation.
• Strong Python programming skills for advanced data analysis and modelling.
• Experience with large-scale transactional datasets and cross-functional teams.
• Ability to translate regulatory and typology requirements into data-driven solutions.
• Experience preparing client-ready documentation and presentations.

Responsibilities

• Validate AML Transaction Monitoring scenarios and analyze alert performance metrics.
• Support regulatory-aligned documentation and governance processes; review STR/SAR data.
• Perform large-scale transactional data analysis to identify patterns and typologies; conduct statistical tests and segmentation.
• Develop and test data-driven calibration strategies using clustering and behavioural modelling.
• Create analytical dashboards and visualizations for stakeholder reporting.
• Write complex SQL queries to extract/validate AML datasets; reconcile data across sources.
• Develop reusable ETL logic to recreate monitoring scenarios and ensure data quality.
• Use Python for advanced data modelling, automate data pipelines, and work with large datasets.

Skills

AML transaction monitoring

SQL

Python

Data analysis

Cross-functional teamwork

Problem solving

Regulatory translation

Documentation & presentations

Tools

SQL

Python

Job description

Job Title: * Transaction Monitoring

• Analytics Specialist

Department: ** Risk and Compliance

*Required Qualifications & Skills: *

• * 3+ years of experience in AML Transaction Monitoring within banking or consulting
• * Strong understanding of AML typologies (structuring, layering, mule accounts, TBML, cross-border risks)
• * Hands‑on experience in SQL for complex data extraction and transformation
• * Strong Python programming skills for advanced data analysis and modelling
• * Experience working with large-scale transactional datasets
• * Strong problem‑solving and analytical thinking
• * Ability to translate regulatory and typology requirements into data‑driven solutions
• * Experience preparing client‑ready documentation and presentations
• * Ability to work in cross‑functional teams across risk, compliance, and technology

*Preferred Qualifications: *

• * Experience with SAS AML / Actimize / other AML platforms
• * Experience in threshold calibration or model validation engagements
• * Exposure to regulatory reviews (AUSTRAC / APRA / RBI / global regulators)
• * Experience with distributed data processing (PySpark, MLlib)

*Key Responsibilities: *

• * Perform validation of AML Transaction Monitoring scenarios and analyze alert performance metrics
• * Support regulatory‑aligned documentation and governance processes, and review STR/SAR data to assess detection effectiveness
• * Perform large‑scale transactional data analysis to identify behavioral patterns and typologies, and conduct statistical testing, sensitivity analysis, and segmentation
• * Develop and test data‑driven calibration strategies, and apply clustering, outlier detection, and behavioral modelling techniques
• * Create analytical dashboards and visualizations for stakeholder reporting
• * Write complex SQL queries to extract, transform, and validate AML datasets, and perform data reconciliation between source systems and AML platforms
• * Develop reusable ETL logic to recreate transaction monitoring scenarios, and conduct data quality checks and resolve inconsistencies
• * Use Python for advanced data modelling and statistical analysis, automate data pipelines and analytical workflows, and work with large datasets using scalable tools.