Required Qualifications
. Bachelor's or Master's degree in Statistics, Mathematics, Economics, Finance, Engineering, or a related quantitative discipline.
. 3-7 years of experience in Commercial Risk Modeling, Credit Risk Analytics, or Commercial Banking Risk.
. Strong background in Statistics.
. Experience analyzing business financial statements and Profit & Loss (P&L) statements.
. Experience in risk-rating commercial clients.
. Strong understanding of Commercial Banking and Credit Risk concepts.
. Excellent analytical and problem-solving skills.
Required Technical Skills
. SQL
. Python
. Advanced Excel
. Statistical analysis and modeling techniques
Preferred Skills
. Experience with Commercial Lending portfolios.
. Knowledge of Credit Risk Modeling methodologies.
. Familiarity with regulatory frameworks related to Commercial Banking.
. Experience working with large financial datasets.
. Exposure to data visualization tools such as Power BI or Tableau is an added advantage.
Preferred Competencies
. Strong analytical and quantitative mindset.
. Excellent problem-solving abilities.
. Good stakeholder communication and presentation skills.
. Attention to detail and high level of accuracy.
. Ability to work collaboratively in a cross-functional environment.
. Ability to manage multiple priorities and deliver within deadlines.