- Delivering high quality analytical and valueadded services for clients while adhering to timelines
- Build next in class risk Models for our Clients leveraging bureau and alternate data
- Provide subject matter expertise on acquisition and limit assignment strategies
- Youll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
- You will have the opportunity to use analysis and customer insights to develop value propositions for customers
- Manage the delivery of multiple complex analytics projects
- Flexible and expertise to perform handson modelling work
- Motivate project team to ensure quality deliverables and achieve milestones
- Mentor and coach junior team members in model development process
- Develop industry best practice on model development/validation
- Drive high standards of customer service and proactive client communication throughout the project term
Qualifications :
- 812 years experience in credit risk modelling across customer life cycle
- A strong understanding of machine learning techniques and algorithms such as Gradient Boost KNN etc.
- Knowledge of different modelling frameworks like Linear Regression Logistic Regression Decision Tree
- Experience working on large data sets using Modern languages like Python
- Good understanding and handson experience of statistical modelling/data analysis tools (SAS Python) and techniques
- Good applied statistics skills such as distributions statistical testing regression etc.
- Understanding of decisioning and portfolio management in banking and financial services would be added advantage
- Understanding of credit bureau would be an added advantage
- Extensive experience of managing large projects
- Experience of working in a financial services environment or Modelling department of International Banks
- Able to interpret technical features into commercial benefits
Additional Information :
Benefits package includes:
- Great compensation package.
- Core benefits include Group mediclaim Insurance Sharesave scheme and more!
- 25 days annual leave & 10 sick leaves.
- Car Lease policy
Role Location: Mumbai
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Remote Work :
No
Employment Type :
Fulltime