Assistant Manager - Data Science

LatentView Analytics; Chennai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

LatentView Analytics Ltd. is seeking an Assistant Manager - Data Science to lead fraud prediction model development, deploy ML solutions for financial crime detection, and collaborate with compliance and risk teams.

The role requires 8–12 years in Data Science, strong Python/SQL, AWS SageMaker, and hands-on ML lifecycle experience. The candidate will work with cross-functional teams, mentor juniors, and ensure regulatory compliance while building scalable data pipelines and deploying models in

Qualifications

• 8–12 years of experience in Data Science with at least 2+ years in FinTech/payments/banking.
• Proficient in Python, SQL and statistical techniques.
• Experience with ML methods such as classification, clustering, anomaly detection, and NLP.
• Hands-on with AWS cloud services (SageMaker, S3).
• Exposure to Feedzai or similar fraud detection platforms preferred.
• Strong communication and collaboration across cross-functional teams.

Responsibilities

• Assist in designing, developing, and deploying ML 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 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 suggest improvements.
• Ensure solutions align with regulatory standards and organizational policies.
• Provide guidance and mentorship to junior data scientists as needed.

Skills

SQL

Python

Statistics

Machine Learning

Data Science

Strong communication skills

AWS Sagemaker

MLOps

Git

Feedzai

Experience in Fin Tech

Education

Bachelor's or master's degree in data science, computer science, statistics, applied mathematics, or related field

Tools

AWS SageMaker

Redshift

S3

Lambda

Feedzai

Job description

Level : L3

Experience : 8 to 12 Years

Job Role:

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.

Education: Bachelor's/master's degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field.

Experience: 8-12 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.

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 data scientists where required.

Required skills

• SQL
• Python
• Statistics
• Machine Learning
• Data Science
• Strong communication skills
• AWS Sagemaker
• MLOps
• Git
• Feedzai
• Experience in Fin Tech