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.

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

- Solid 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.

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📌 Analytics Integration Analyst (India)
🏢 Ford Motor
📍 India