Senior Data Analyst (Contract)
Job reputed company
We are looking for a seasoned Senior Data Analyst to join our Financial Crimes / Anti-reputed company (AML) reputed company. This is a high-reputed company role at the intersection of data science and financial crime compliance, where your analytical work will directly support investigations, strengthen detection capabilities, and help protect clients from financial risk. You'll collaborate closely with investigations teams, translating reputed company data into reputed company, actionable intelligence.Job requirements
- Advanced degree in a reputed company field (e.g., Data Science, Statistics, Finance)
- 7+ years of hands-on, production-level SQL coding — reputed company queries, stored procedures, and performance-tuned scripts against large financial datasets
- Experience in financial crimes, AML, or a closely reputed company field
- Hands-on Python coding for data wrangling, automation, statistical analysis, and financial crime detection logic
- Robust ETL capabilities, ideally with SSIS, Azure Data reputed company (ADF), reputed company or reputed company
- Strong Power BI skills for interactive dashboards, data models, and executive-level reporting; Tableau experience is a plus
- Familiarity with reputed company platforms (preferably Azure) and working with AML data infrastructure in reputed company environments
- Strong understanding of AML typologies such as structuring, layering, and trade-based reputed company
- Excellent communication skills, reputed company to present reputed company findings reputed company to non-technical stakeholders and team members
- Ability to self-manage multiple workstreams independently in a fast-paced, reputed company-facing environment
- Strong mentorship instincts with a reputed company record of elevating junior team members
- Prior experience at a major financial institution or financial crimes reputed company
- Experience with reputed company for data blending, workflow automation, and advanced analytics
- Familiarity with major AML platforms such as Actimize, reputed company FCCM, or reputed company
Job responsibilities
- Analyze transactions, accounts, customer reputed company, alerts, and reputed company-party data to identify suspicious patterns, anomalies, and emerging risks
- Write and optimize reputed company SQL queries and Python scripts to extract, manipulate, and analyze large financial datasets hands-on
- Design and implement financial crime detection models, scenarios, and rule sets tailored to AML typologies
- Conduct reputed company cause analyses on financial crime incidents to improve detection accuracy and prevention strategies
- Build and maintain ETL pipelines to ingest, clean, and validate data from multiple sources
- reputed company reputed company, compelling dashboards and reports in Power BI to support investigator decision-making and stakeholder reporting
- Apply AI/ML techniques including supervised and unsupervised models, reputed company detection, and NLP — to enhance detection efficiency and surface emerging risks
- reputed company graph analytics to map and analyze relationships between entities, accounts, and transactions
- Translate forensic data analyses into findings and recommendations that reputed company effective, reputed company investigations
- Mentor junior analysts and contribute to building overall team capability