About the Role
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.
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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
