Job Overview We are seeking an experienced Data Scientist with a strong background in the banking sector, specifically in credit risk analytics. The ideal candidate will have solid hands-on experience working on credit-related use cases and possess deep expertise in data science techniques and model development. Key Responsibilities Develop and implement credit risk models to support lending and risk decision-making Work on projects related to credit scoring, scorecards, underwriting, and loan analytics Analyze large datasets to derive actionable insights and improve risk strategies Build, validate, and monitor predictive models for risk assessment and portfolio management Collaborate with business, risk, and technology teams to translate requirements into data-driven solutions Ensure model accuracy, performance, and compliance with banking standards and regulations Requirements Required Skills & Experience 6–8 years of experience in Data Science, preferably within the banking/financial services industry Strong hands-on experience in credit risk, loans, scoring platforms, or underwriting models Expertise in statistical modeling, machine learning, and predictive analytics Proficiency in tools such as Python, R, SQL, and data visualization tools Experience in developing scorecards and risk models is highly preferred Strong analytical thinking and problem-solving skills Preferred Qualifications Prior experience working with banks or financial institutions Familiarity with regulatory requirements in credit risk modeling Excellent communication skills and ability to work with cross-functional teams Benefits Visa Sponsorship Health Insurance Annual Air Ticket Gratuity 20 Paid Leaves Annually