Analytics Integration Analyst

Ford; Chennai; In loco; INR 1.200.000 - 2.100.000; Tempo pieno

Descrizione del lavoro

Ford in Chennai is seeking an analyst to implement and productionize credit risk models and analytics solutions across global platforms. The role bridges model development, IT, and business teams, focusing on implementation accuracy, production support, and automation.

Responsibilities include developing scorecards, PD, LGD, EAD, and ECL models, data reconciliation, and collaboration with cross-functional teams to deliver enhancements.

Competenze

• Bachelor’s degree in computer science, data science, information systems, engineering, or related field; master’s degree preferred.
• 3+ years of experience in credit risk analytics, model implementation, or analytics solutions integration.

Mansioni

• Implement, test, validate, and maintain credit risk models and strategies, including scorecards, PD, LGD, EAD, and ECL models.
• Develop code, perform data reconciliation and impact analysis, support production execution, and resolve implementation issues.
• Collaborate with model development, IT, and business teams to deliver model enhancements and change requests.
• Build reusable automation for batch testing, data comparison, validation, and reporting across legacy and modern platforms.
• Support cloud-based analytics workflows and explore opportunities for GenAI and agentic automation.
• Maintain technical and process documentation, support audits and model governance, and drive continuous improvement.

Conoscenze

SAS

Python

R

Formazione

Bachelor's degree in CS/DS/IS/Engineering

Master's degree preferred

Strumenti

SAS Real-Time Decision Manager

GCP

Mainframe systems

Linux

Relational databases

Descrizione del lavoro

Job Description

We are seeking an analyst to implement and productionize credit risk models and analytics solutions across global platforms. The role bridges model development, IT, and business teams, with a focus on implementation accuracy, production support, process modernization, and automation.

Key Responsibilities

• Implement, test, validate, and maintain credit risk models and strategies, including scorecards, PD, LGD, EAD, and ECL models.


• Develop code, perform data reconciliation and impact analysis, support production execution, and resolve implementation issues.


• Collaborate with model development, IT, and business teams to deliver model enhancements and change requests.


• Build reusable automation for batch testing, data comparison, validation, and reporting across legacy and modern platforms.


• Support cloud-based analytics workflows and explore opportunities for GenAI and agentic automation.


• Maintain technical and process documentation, support audits and model governance, and drive continuous improvement.

Position Qualifications

Education and Experience

• Bachelor’s degree in computer science, data science, information systems, engineering, or a related field; master’s degree preferred.


• 3+ years of experience in credit risk analytics, model implementation, or analytics solutions integration.

Technical Skills

• Strong programming skills in SAS / python / R or any programming knowledge


• Basic understanding of credit risk concepts and IFRS 9/CECL, including PD, LGD, EAD, and ECL.


• Exposure to data validation, testing, reconciliation, impact analysis, and productionizing analytical models.


• Familiarity with model risk management, governance, Linux, and relational databases.


• Exposure to GCP, mainframe systems, SAS Real-Time Decision Manager, and AI/agentic tools is an advantage.

Soft Skills and Personal Attributes

• Strong analytical, problem-solving, and communication skills.


• Ownership of deliverables, attention to detail, and commitment to quality.


• Ability to work independently and collaborate with global, cross-functional teams.


• Adaptability, curiosity, and a continuous-improvement mindset.