Associate/Senior Associate - Machine learning/Credit Risk Modeling - Investment Bank

Core responsibilities:

The successful candidate will be a member of the MGG Group covering the Risk areas such as wholesale credit risk (may also include coverage of Market Risk & other areas as need arises), and will focus on the following activities:

- Engage in new model validation activities for a subset of models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model.

- Work on the review of Machine Learning Models employed in the Wholesale Credit Risk Space

- Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact

- Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards

Essential skills, experience, and qualifications:

- Strong quantitative & analytical skills: The role requires a strong quantitative background based on a PhD or Masters Degree (or equivalent) in a quantitative discipline such as Math, Science, Economics, Engineering, Quantitative/Math Finance, etc.

- Experience in model development and/or model validation and strong familiarity with PD/LGD & EAD Models; At least 4+ year of the following areas (preferably in Wholesale/Consumer banking):

- Strong communication skills and ability to interface with other functional areas in the bank on model-related issues

- Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues