
Assistant Manager - Python + SQL
- Mumbai, Maharashtra
- Permanent
- Full-time
In this role, you will be focusing on fraud detection, AML/CTF, and transaction monitoring using SQL, Python, and BI tools to develop analytical solutions and enhance risk oversight. Strong stakeholder engagement and problem-solving skills are key.
Responsibilities
- Support the managers and business leads to ensure that the respective TM/CRA/WLM/AEoI programs are working as intended and have appropriate oversight.
- Using advanced SQL/Python techniques to define analytical products which meet project needs and interpret business rules into code.
- Utilise analytics techniques in SQL & Python to model, design, and implement new transaction monitoring scenarios
- Deliver robust documentation, code and processes using Confluence, Gitlab, and SharePoint to ensure a clear audit trail of decisions, implementation and lineage of data products.
Minimum Qualifications / Skills
Technical Skills:
- Intermediate SQL proficiency for data extraction, modeling, and analytics.
- Beginner Python skills for data analysis, scripting, and automation.
- Experience working with relational databases to manage and manipulate large datasets.
- Expertise in Business Intelligence & Data Visualization using tools like Power BI, Tableau, or Qlik Sense.
- Strong data quality management capabilities and ability to spot trends/ quality issues / anomalies in new data sources and identify ways to work around these issues.
- Ability to translate business requirements into analytical solutions, working closely with both technical and non-technical stakeholders.
- Strong problem-solving mindset to detect anomalies, identify patterns, and enhance risk coverage.
- Ability to work under pressure and meet deadlines including the ability to multi-task, prioritise and balance competing demands and expectations.
- Simplify the complex – The ability to generate insight from data and engage and communicate those insights effectively with non-technical business customers.
- Strong documentation and governance skills, ensuring clear audit trails of decisions and data processes.
- Financial services experience especially within banking or wealth management.
- Experience in financial crime risk management, with emphasis on AML/CTF and Sanctions.
- Experience in AWS tool stack for analytics (EMR, S3, etc).
- Experience in data visualisation tools such as PowerBI, Qliksense or Tableau.