Data Scientist- AML Risk Analytics

Solytics Partners; Pune District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Solytics Partners, a global analytics firm, seeks an AML professional to enhance monitoring, validate and optimize models, and drive compliance with FATF guidelines. You will work across Compliance, Risk, and Technology teams to tune rules, analyze large datasets, and document outcomes.

Ideal candidates bring 3–8 years in AML or financial crime, hands-on monitoring system experience, and strong SQL/Excel skills to deliver robust anti-money-laundering solutions.

Qualifications

• 3–8 years of AML or Financial Crime Compliance experience.
• Hands-on AML Transaction Monitoring system experience.
• Knowledge of transaction monitoring concepts, alert analysis.
• Experience with AML model validation, calibration or optimization.
• Familiarity with AML regulations and FATF guidelines.
• Strong data analysis skills with large transactional datasets.
• Proficient in SQL and Microsoft Excel for reporting.

Responsibilities

• Perform customer and transaction segmentation to improve AML monitoring.
• Analyze alerts and optimize detection logic for better accuracy.
• Tune scenarios and thresholds to reduce false positives while staying compliant.
• Review historical alerts and model performance for improvements.
• Support calibration and ongoing optimization of AML models.
• Identify suspicious patterns and evolving financial crime risks.
• Collaborate with Compliance, Risk, Business, and Tech teams to implement rule changes.
• Document tuning methodology, testing results, and recommendations per standards.

Skills

AML / Financial Crime

SQL

Excel

Analytical thinking

Communication

Regulatory compliance

Cross-functional collaboration

Job description

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‑edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future‑proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Key Responsibilities

• Perform customer and transaction segmentation to improve the effectiveness of AML transaction monitoring scenarios.
• Analyze transaction monitoring alerts and identify opportunities to optimize detection logic.
• Conduct scenario tuning and threshold optimization to reduce false positives while maintaining regulatory compliance.
• Review historical alerts, disposition outcomes, and model performance to recommend enhancements.
• Support calibration, validation, and ongoing optimization of AML transaction monitoring models.
• Analyze transactional data to identify suspicious activity patterns and emerging financial crime risks.
• Collaborate with Compliance, Risk, Business, and Technology teams to implement monitoring rule changes.
• Document tuning methodology, testing results, and recommendations in accordance with regulatory standards.

Key Requirements

• 3–8 years of experience in Anti‑Money Laundering (AML) or Financial Crime Compliance within the banking or financial services industry.
• Hands‑on experience with AML Transaction Monitoring systems and alert generation frameworks.
• Strong understanding of transaction monitoring concepts, customer risk segmentation, scenario tuning, threshold optimization, and alert analysis.
• Experience working on AML model validation, calibration, or optimization initiatives.
• Good understanding of AML regulations, FATF guidelines, KYC, Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), and Suspicious Activity Reporting (SAR/STR).
• Strong analytical and problem‑solving skills with experience working on large transactional datasets.
• Proficiency in SQL and Microsoft Excel for data analysis and reporting.
• Excellent communication skills with the ability to collaborate across cross‑functional teams.