Data Scientist
Summary
The Data Scientist will design, build, and maintain credit risk models and scorecards for lending decisions, analyzing large banking datasets using Python, R, and SQL while collaborating with risk and business teams.
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