Lead Assistant Manager

Responsibilities:

• Large data management, feature engineering, strong hands on in EDA and feature Engineering using bureau data in banking domain
• Create Python classes and functions to automate EDA and Feature Transformation process
• Good to have - Design, implement, and optimize sophisticated machine learning models in Banking domain for Credit Risk modeling.
• Stay updated on the latest machine learning advancements, actively identifying and integrating cutting-edge techniques to continuously improve our models and address diverse analytical use cases.
• Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.
• Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders.

Qualifications:

• 3 - 6 years of experience in credit risk analytics preferably in Banking and Financial Services
• Experience with bureau data; feature engineering
• Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.
• Proficiency in Python programming languages is must
• Experience with large-scale data processing and distributed computing frameworks is a plus.
• Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders