Job Location: Noida
- Perform actuarial analysis, prepare reports, and communicate the results. Support the operation and documentation of business controls. Support model-based processes including the management of inputs, calculations (processing), and outputs. Help to make process improvements and adjustments to existing tools.
- The employee will work alongside actuarial and finance staff, supporting actuarial analysis and reporting functions.
Responsibilities
- Supports/ owns the execution of risk and/or valuation models including the management of inputs, processing, and outputs (results) based on risk and reporting requirements.
- Requests technical environments and monitors processing logs. Maintains documentation for risk processes at the Ameriprise product/LOB level.
Prepares spreadsheets and other related reports based on model results (output) and internal client requirements. Manage various inputs and generate extracts for the corporate model. - Supports input, spreadsheet, and model validation control activities. Supports the testing of model and process changes as needed by corporate model and actuarial teams.
Collaborate with different teams in completing the task and understand the need arises. - Should have a good command of verbal and written communication and keen to learn new technologies.
Should be able to proceed with self-learning opportunities related to systems/tools used by the team with minimal guidance. - Should be able to work effectively and make sure the results are accurate and thoroughly reviewed before sharing it with business partners.
Should be able to maintain the documentation and make sure quality is maintained throughout. - Execute and understand the software applications or programs used to assist in the execution of risk and/or valuation models using several programming languages or software development frameworks such as SQL, R studio, Python, VBA (used with Excel/Access), or other.
Has some knowledge of basic finance structures and terminology.
Required Qualifications
- Bachelors degree or equivalent
Good analytical, quantitative, and problem-solving skills and ability to use statistical analysis and modeling - Strong knowledge of business operations and processes in more than two areas
Ability to communicate effectively on recommendations and analysis results, and establish and maintain strong relationships across the organization
Preferred Qualifications
- Degree in Computer Science, Data Science, Finance/Math, or related discipline
Experience with MS Excel, VBA, Python, and other database applications
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