Data Scientist

Role & responsibilities

Designation: Assistant Manager - Data Science

Level: L3

Experience: 6 to 9 years

Location: Chennai/ Bangalore

We are seeking a highly skilled Data Scientist to join our Anti Money Laundering (AML) team

within the payments industry. The role involves building and deploying advanced Machine

Learning (ML) models to detect and prevent financial crimes, optimize fraud detection

processes, and ensure compliance with regulatory requirements. You will work closely with

cross-functional teams including compliance, risk, data engineering, and product, with a

direct impact on safeguarding financial ecosystems.

Responsibilities:

• Design, develop, and deploy machine learning models for AML detection, fraud

prevention, and suspicious transaction monitoring.

• Apply statistical techniques and advanced analytics to detect anomalies and patterns

in large-scale transactional datasets.

• Conduct exploratory data analysis (EDA) to identify behavioral trends, money

laundering typologies, and high-risk activities.

• Develop scalable data pipelines using SQL, Python, and AWS for model training,

validation, and monitoring.

• Work with Feedzai and other AML platforms to integrate ML solutions into production

environments.

• Continuously monitor model performance, retrain, and improve detection capabilities

to adapt to evolving threats.

• Provide mentorship and guidance to junior data scientists and analysts.
• Document methodologies and ensure solutions meet industry regulations and audit

standards.Classification | INTERNAL

Skills:

• Masters or Ph.D. in Computer Science, Statistics, Data Science, Applied Mathematics,

or related field.

• 5+ years of data science experience with at least 4+ years in FinTech / Payments /

Banking / AML.

• Strong hands-on experience in Python, SQL, Statistics, and Machine Learning

techniques (classification, anomaly detection, clustering, NLP).

• Big Data tools and cloud environments, preferably AWS (S3, SageMaker, etc.).
• AML-focused platforms, with Feedzai experience strongly preferred.
• Knowledge of money laundering typologies, regulatory guidelines.
• Proven track record of building ML models for financial fraud detection or AML systems

in a production environment.

• Excellent problem-solving, analytical thinking, and communication skills.

Preferred candidate profile