Assistant Manager - Data Science

LatentView Analytics · Chennai

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Last observed by our collector: 8 October 2026 at 11:39 pm IST. This is not a manual review or a confirmation from the employer.

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Collected role description

<p style="line-height:1.6;"><b><span style="font-family:Georgia;">Designation : </span></b><span style="font-size:14px;font-family:Georgia;"><b>Assistant Manager - Data Science</b></span></p><p style="line-height:1.6;"><b><span style="font-family:Georgia;">Level : L3</span></b></p><p style="line-height:1.6;"><b><span style="font-family:Georgia;">Location : Chennai</span></b></p><p style="line-height:1.6;"><b><span style="font-family:Georgia;">Experience : 6 to 12 Years</span></b></p><p style="line-height:1.6;"><br /></p><p style="line-height:1.6;"><b><span style="font-family:Georgia;">Job Role </span></b><span style="font-family:Georgia;">:</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">We are seeking an Assistant Manager – 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.</span></p><div style="line-height:1.6;"><br /></div><p style="line-height:1.6;"><b><span style="font-family:Georgia;">Responsibilities </span></b><span style="font-family:Georgia;">:</span><br /></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Assist in designing, developing, and deploying machine learning models for fraud prevention.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Perform data analysis, feature engineering, and statistical modeling on large-scale transactional datasets.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Collaborate with compliance, risk, and operations teams to translate requirements into actionable data science solutions.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Build and maintain data pipelines using SQL, Python, and AWS services (SageMaker, Redshift, S3, Lambda).</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Support the integration of ML models into production environments, including Feedzai.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Monitor and evaluate model performance, prepare reports, and recommend improvements.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Ensure solutions align with regulatory standards and organizational policies.</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Provide guidance and mentorship to junior analysts where required.</span></p><div style="line-height:1.6;"><br /></div><div style="line-height:1.6;"><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;"><b>Qualifications</b></span></div><div style="line-height:1.6;"><span style="font-size:14px;"><b><br /></b></span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Education: Bachelor’s/master’s degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field.</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Experience: 6–12 years of experience in Data Science, with at least 2+ years in FinTech, Payments, Banking.</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Strong programming and analytical skills with Python, SQL, and statistical techniques.</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Experience in applying machine learning methods such as classification, clustering, anomaly detection, and NLP.</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Hands-on experience in AWS cloud services (SageMaker, S3).</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Exposure to Feedzai or similar fraud detection platforms preferred.</span></div><div style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">Strong communication and collaboration skills, with the ability to work across cross-functional teams.</span></div></div><div style="line-height:1.6;"><br /></div><p style="line-height:1.6;"><br /><b><span style="font-family:Georgia;">Required skills </span></b><span style="font-family:Georgia;">: </span></p><p style="line-height:1.6;"><span style="font-family:Georgia;">SQL, Python, Statistics, Machine Learning, Data Science, Strong communication skills</span></p><p style="line-height:1.6;"><span style="font-size:14px;font-family:Georgia;">AWS Sagemaker, MLOps, Git, Feedzai, Experience in Fin Tech</span></p>

Collected experience requirement

6 - 12 Years