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along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production


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- Filter criteria –
- 7-8 years & above experience in Corporate Banking or allied areas (Mid-market, Commercial, Trade)
- Corporate relationship and Sales ownership experience
- Understanding of Corporate/ Commercial/ SME/ Trade Finance
- Individual needs to be self-driven, capable of working with minimum supervision
- This will be an acquisition and execution role, hence proven competency in these will be essential
- Job Role –
- Responsible for bringing in new client acquisitions and driving closure on mandates for the region
- Understanding the key offerings of the company platform and applicability across industries
- Marketing SCF solutions to Corporates and their Supply Chains
- Ability to engage with a wide set of stakeholders on the Corporate side and identify opportunities
- Engaging with the FI partners to activate and grow financing on the Network
- Working closely with the India Corporate Sales - Head and the Network Sales teams to achieve the KRAs for the region

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