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Mid-level Bangalore analytics role with common skills and hybrid setup attracts high candidate density.
Requires deep securitization, Intex modelling, and trust-document expertise, limiting cross-industry transferability.
Explicit 4-7 years plus mandatory Intex/Python/SQL and securitization expertise enforces strict filtering.
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Oversee development and change management of cash flow models across multiple asset classes including ABS, CMBS, CLO, and RMBS with a focus on risk and quality control.
Collaborate with onshore teams to support Corporate Trust business lines and deliver client-facing professional services.
Identify process inefficiencies and recommend automated solutions to improve accuracy and efficiency in bond payment and tax team support.
4-7 years of relevant experience in multinational business environments in India.
Master’s in Commerce (M.Com), MBA, or equivalent; Bachelor’s in Finance, Math, Computer Science, or related analytical discipline accepted.
Proficiency in programming languages such as Intex, Excel, Access, Python, SQL, or VBA.
Knowledge of securitized deal structures and experience with securities documents (Trust Agreements, Indentures, etc.) and Intex modelling software.
Experience working in fast-paced, multinational environments with capacity to manage change and variability.
Strong analytical and problem-solving skills with attention to detail, especially in securitized deal structures and bond payment calculations.
Ability to collaborate across global teams, supporting client-facing service operations and technical modelling functions.