In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner, Dautom is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.

Position: Lead Model Developer

Job Type: Contract- 6 months and extended

Location: India, Remote

Mandatory / Essential:

- Strong foundation in Statistics and Mathematics.
- At least 4-5 years of banking experience, out of which 1-2 years are spent in related areas
- Strong analytical skills and knowledge on Financial Risk Management
- At least 2-3 years of banking experience in related areas
- Excellent computer skills (especially R, Python, SAS, Excel, Visual Basic, SQL & Oracle)

Desirable:

- Postgraduate or professional qualification in risk management or finance such as CFA, FRM, PRM.
- Experience of developing teams in a multi-jurisdictional and matrixed organization.
- Understanding and experience of BCBS frameworks, CBUAE regulations relating to model management standards.

Technical & Delivery Responsibilities

- Support the data preparation and model development, validation, and lifecycle management of Wholesale Rating Models




- Support model development and validation including:
- Corporate/Wholesale Rating Models including Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending
- Explore recent approaches for rating model development for low default portfolios
- Master Rating Scale (MRS) calibration

Wholesale Model Monitoring

- Outline the goals of model monitoring, considering factors like accuracy and other relevant metrics based on the model purpose
- Determine the expected performance of the respective models on historical data
- Implement monitoring tools to continuously assess model performance. This includes monitoring input data quality, predictions
- Communicate the model performance to relevant stakeholders to ensure the prompt attention to potential problems.
- Regularly review and improve the model performance process based on the feedback, change in underlying data and evolving business requirement.

Data Management

- Lead end-to-end data lifecycle management for model development, including sourcing, profiling, transformation, and documentation.
- Identify data requirements for model development.
- Coordinate with IT and data engineering teams to streamline data pipelines required for model development

📌 Lead Model Developer (India)
🏢 Commercial Ilerda D'Automocio
📍 India