Job Description:

Responsible for independently conducting quantitative analytics and modeling projects. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Responsibilities:

The qualified candidate will be responsible for model independent validation and peer review of all newly developed complex predictive models to ensure they follow good modeling practices and are in compliance with Model Governance Policy, Guidelines and OCC requirements. This will involve understanding the purpose of the model, how it works, how well it performs, and what effective challenges are to the current model. The scope of the role will cover all Global Consumer and Small Business Banking models, included but not limited to Card, First Mortgage, Home Equity, Small Business, Insurance, Marketing and others. Ability to communicate clearly, effectively, and work well with people is a key requirement. The qualified candidate will work cross-functionally to enforce processes and to integrate more effective model validation processes.

Requirements:

Education: Masters or Ph.D. degree in Statistics and/or Mathematics and/or Financial Mathematics and/or Economics preferably from Top tier - IITs, NITs, Indian Statistical Institutes etc.

Certifications (preferred but not mandatory): FRM, CFA etc.

Experience Range: 5 - 7 years

Foundational skills:

- Strong Quantitative skills

- Proficient in statistical analysis and modeling

- Have a deep understanding and knowledge of modeling process and model performance measures and to perform effective challenges to the current models

- Proficient in at least one programming software/language, such as R, S-Plus, SAS or Python

- Demonstrable ability to work on multiple projects at any one time

- A proven project manager who is well organized

- Strong Written and Oral Communication

- Attention to details

- Willingness to learn

- Strong work ethic

- Team player

Desired skills:

- 3 years of continuous hands-on model development or validation experience, preferably, in a lending environment

- Speaking / presentation skills in a professional setting

- Strong design patterns skills to design and architecture the tool

- Have a good understanding and knowledge of Machine Learning techniques, such as Artificial Neural Network (ANN), Gradient Boosting Machine (GBM) and Random Forest (RF).

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