Job Description

Job Purpose To develop methodology and mechanisms to monitor and control Credit, Market and Liquidity risk within the organization and develop early warning signals for monitoring the risk profile to ensure that proactive measures can be taken on timely basis. Functional Responsibilities Development of models for credit risk for predictive analysis Development of score card for credit products Understanding of data structures and query languages like SQL Good understanding of common data science and Analytics toolkits such as R, Python, SAS, Tableau etc. Excellent applied statistics skills, such as distributions, statistical testing, regression, etc. Need to build machine learning (ML) and artificial intelligence (AI) tools that automate certain processes within the company Qualifications Degree in Mathematics and Statistics / Computer Science / Engineering Experience Minimum 3 Years of experience in financial sector Functional Competencies Good understanding of financial sector with technical understanding of various financial models Analytical mindset Understanding of Credit underwriting and market risk management process Behavioral Competencies Interpersonal and organizational skills Critical Thinking / Problem Solving Teamwork / Collaboration. Adaptability / Decisiveness