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Senior Analyst - Data Science

LatentView Analytics -
Chennai, Tamil Nadu

Apply Now

Job details

Permanent

Qualifications

Computer Science
Applied Mathematics
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Machine learning
Natural language processing
S3
Fraud prevention and detection
Data science
Redshift
Communication skills
Banking
Python
Data Science

Full job description

Designation: Senior Analyst - Data Science

Level: L2

Experience: 3 to 8 Years

Location: Chennai

Job Description:

We are seeking an Senior Analyst – Data Science to develop fraud prediction models using machine learning. The role involves contributing to the development and deployment of machine learning models and data-driven solutions to detect suspicious activity, mitigate financial crime, and ensure compliance. The ideal candidate will combine strong technical expertise with a solid understanding of machine learning and experience in development of end-to-end model development lifecycle.

Responsibilities:

Assist in designing, developing, and deploying machine learning models for fraud prevention.
Perform data analysis, feature engineering, and statistical modeling on large-scale transactional datasets.
Collaborate with compliance, risk, and operations teams to translate requirements into actionable data science solutions.
Build and maintain data pipelines using SQL, Python, and AWS services (SageMaker, Redshift, S3, Lambda).
Support the integration of ML models into production environments, including Feedzai.
Monitor and evaluate model performance, prepare reports, and recommend improvements.
Ensure solutions align with regulatory standards and organizational policies.
Provide guidance and mentorship to junior analysts where required.

Required Skillsets:

Education: Bachelor’s/master’s degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field.
Experience: 3-8 years of experience in Data Science, with at least 2+ years in FinTech, Payments, Banking.
Strong programming and analytical skills with Python, SQL, and statistical techniques.
Experience in applying machine learning methods such as classification, clustering, anomaly detection, and NLP.
Hands-on experience in AWS cloud services (SageMaker, S3).
Exposure to Feedzai or similar fraud detection platforms preferred.
Strong communication and collaboration skills, with the ability to work across cross-functional teams.

Job Snapshot

Updated Date

01-06-2026

Job ID

J_5330

Location

Chennai, Tamil Nadu, India

Experience

3 - 8 Years

Employee Type

Permanent

Apply Now

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