Nair Systems is currently looking for FDI Co-lending Business Analyst for our Qatar operations
Education & Experience Requirements:
- Bachelor Degree from a recognized university preferably with a major in Banking, Finance, Accounting, Economics, Business Administration, Information Technology, or a related field.
- Minimum 7 years of relevant experience in Corporate Banking, Lending, Credit, Business Analysis, Financial Services, or Transformation Programs, preferably within a highly rated international bank.
- Experience supporting lending transformation, credit initiatives, system implementations, or process improvement projects.
- Exposure to FDI, structured finance, co-lending, or corporate lending environments preferred.
Required Special Skills:
- Excellent oral and written communication skills (including report writing) in English.
- Good interpersonal and presentation skills.
- Understanding of the relevant laws, regulations, and practices.
- Ability to make decisions and follow through with initiatives.
- Personal integrity and self-management.
- Planning, organizing, and analytical ability.
- Results oriented.
- Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.
- Strong business analysis, requirements gathering (BRD/BRS), user stories, process mapping, and solution design skills.
- Knowledge of lending products, credit processes, loan origination systems, and loan lifecycle management.
- Ability to analyze complex business problems, translate requirements into functional specifications, and support transformation and system implementation initiatives.
Joining time frame: 2 weeks (maximum 1 month)
Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest
Company Profile
Nair Systems, is a QFC based, boutique leading edge technology consulting and professional services firm focusing on Digital Banking, Artificial Intelligence, Big Data & Data Analytics, Cyber Security, Blockchain and Cryptocurrency and Robotic Process Automation.