Senior Analyst, AML Analytics
#tidePlastic Recycling company
Hyderabad, IndiaSenior
Plug and Play Tech Center
Kickstart Accelerator
Technology Fund
Data & AI
About the role
TL;DR
Design and develop advanced AML monitoring controls using data analytics and statistical methods.
- •As a Senior Analyst, AML Analytics, you will be a key technical and statistical designer of Tide's AML monitoring controls, making your role crucial to achieving our strategic goals.
- •You will be at the forefront of our mission to move towards more sophisticated, behaviour-based monitoring and to implement advanced optimisation and segmentation across our systems.
- •Key Responsibilities Designing and Developing Advanced Monitoring Models: You will be the technical and statistical architect for Tide's AML monitoring controls, leading the evolution of our capabilities from simple transaction-level triggers to sophisticated, behaviour-based models that provide a holistic view of member activity.
- •Optimising and Enhancing the Detection Framework: You will apply advanced statistical methods and optimisation techniques to continuously refine our monitoring framework, strategically balancing key objectives like increasing the detection of suspicious activity while strengthening operational productivity.
- •Implementing Targeted, Risk-Based Controls: You will translate emerging AML typologies and risk policies into effective, data-driven logic.
- •This includes developing and deploying robust member segmentation strategies to ensure our monitoring is precisely targeted and aligned with risk.
- •Requirements A minimum of 4 years of experience in a data analytics function, with a strong preference for roles within financial crime or risk management function.
- •High level of proficiency in SQL and Python, with extensive hands-on experience using libraries like Pandas and PySpark to build, validate, and optimise complex models from large datasets.
- •Demonstrable experience applying optimisation algorithms and statistical methods to solve real-world problems, such as balancing model precision and recall or managing alert volumes.
Required skills
SQLPythonPandasSpark
Domain expertise
fintech
Benefits & perks
Competitive Compensation, Time Off, Parental Leave, Sabbatical, Health Insurance, Life & Accident Cover, Mental Wellbeing, Volunteering & Development Days, Learning & Development, WOO (Work Outside the Office), Home Office Setup, Laptop Ownership, Snacks & Meals
Tech stack
SQLPythonPandasSpark