Actuarial Science graduate with experience in financial analysis, Excel modeling, and data analytics. I help businesses analyze financial data, build efficient models, and generate insights to support better decision-making.
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Ensure accurate and timely processing of daily pension-related transactions, including
contributions and payments, while maintaining comprehensive transaction records to
support business operations.
Implement and adhere to Standard Operating Procedures (SOPs) across various
transaction cycles in compliance with internal policies, regulatory requirements, and
Service Level Agreements (SLAs).
Investigate and resolve discrepancies in rejected or failed applications by coordinating
with relevant departments to implement corrective actions and drive continuous process
improvement.
Utilized Analytical tool including Microsoft excel, to efficiently manage, track, and validate
data entries, improving data accuracy and workflow efficiency.
Conducted end to end Net Asset Value (NAV) calculations, including cash reconciliation,
trade and position reconciliation, expense accruals, and performance fee calculations to
ensure accurate portfolio P&L reporting.
Leveraged Excel automation and trade loaders to reduce manual input and streamline
data uploads into accounting software (Paxus).
Applied Excel formulas (e.g., XLOOKUP, SUMIFS) to compute, validate, and reconcile NAV
components.
Used Bloomberg to validate security information (ticker, pricing, corporate actions) for
NAV processing.
Assisted external auditors by extracting reports, preparing reconciliation files, and
providing supporting documentation for efficient year-end audit completion.
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Bachelor of Science (Hons.) Actuarial Science – Second Class (Upper)
We will review the reports from both freelancer and employer to give the best decision. It will take 3-5 business days for reviewing after receiving two reports.