Data Scientist

Responsibilities:

•     Build complex risk and financial models.

•     Should possess analytical thinking, problem-solving ability, and effective communication skills to engage with stakeholders across all levels.

•     Experience in developing credit risk models (PD, EAD, LGD) and working on model implementation is a plus.

•     A track record of navigating complex business issues and aligning diverse perspectives is highly valued.

Skills:

•     3–8 years of experience in Risk & Marketing or financial services, along with a degree in Computer Science, Mathematics, or Statistics.

•     Proficiency with ML, Data science, Risk Analytics concepts.

•     Strong knowledge of statistical and quantitative techniques, and proficiency in tools like SAS, R, Python, SQL, and Excel is essential.

Experience: 3 to 8 years

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