Chennai, Tamil Nadu
Job Summary

Quantitative Analyst About the programme: A large-scale transformation programme delivering integrated credit risk data, analytical models, capital calculations, regulatory reporting, and production operations through a modern, scalable, controlled, and audit-ready technology platform. Summary Requirement What this role does Acts as the bridge between quantitative methodology and engineering teams, translating approved models and calculations into clear, implementable, and testable requirements. Designs formulas, data requirements, test cases, reconciliations, and expected results. Recruiter should look for Strong mathematics, statistics, and quantitative analysis background Experience translating models or analytical methodologies into specifications Strong SQL and analytical coding skills Testing, validation, reconciliation, and data analysis experience Ability to work across data, calculations, reporting, and technology teams Key skills Mathematics and Statistics Probability, Regression and Classification Models Calibration and Parameter Estimation Advanced SQL Python, SAS, or R Functional Specifications Data Mapping and Analysis Test Design and Reconciliation Requirements Traceability Typical backgrounds Quantitative Analyst Risk Analytics Consultant Model Implementation Analyst Model Validation Analyst Quantitative Business Analyst Financial Engineer Mandatory experience 7-15 years in quantitative analytics, model implementation, model validation, risk analytics, or regulatory change programmes Strong SQL and analytical programming experience Experience defining formulas, data requirements, controls, reconciliations, and testing approaches Nice to have experience Credit Risk, Basel, IFRS 9,



PD/LGD/EAD Basel 3.1 programmes Spark or cloud analytics platforms Detailed Requirement Role Summary The Quantitative Analyst converts approved methodologies, mathematical specifications, statistical concepts, parameters, and reference calculations into precise, implementable, and testable quantitative requirements. Acting as the bridge between methodology and technology delivery teams, the role translates requirements into transparent computational logic, data specifications, testing frameworks, and reconciliation rules. The objective is to ensure that analytical solutions can be implemented consistently and ac

Key Responsibilities
1. Develop and deploy etl processes using amazon glue to extract, transform, and load data from various sources.
2. Design and optimize sql queries to retrieve and analyze data efficiently.
3. Develop python scripts to automate data processing tasks and enhance system performance.
4. Troubleshoot and debug issues in existing data pipelines to ensure smooth operation.
5. Collaborate with cross functional teams to understand data requirements and deliver effective data solutions.
6. Stay updated with the latest technologies and best practices in data integration and processing.
Skill Requirements
1. Proficiency in amazon glue for etl processes and data integration.
2. Strong knowledge of sql for data querying and manipulation.
3. Proficient in python programming for automation and data processing tasks.
4. Experience in optimizing data pipelines for performance and scalability.
5. Strong analytical and problem-solving skills.
6. Good communication and team collaboration abilities.
Other Requirements
1.AWS Certified Big Data Specialty would be a plus.
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📌 AWS Senior Data Technical Specialist - Glue, SQL, Python (India)
🏢 HCLTech
📍 India