
Iris Wong
Data engineer and analytics professional
Habilidades

Conheça meus serviços


Portfólio
Experiência profissional
Manager Data Analytics
Standard Chartered
Aug 2025 - Present • 10 mos
●Architected and delivered a Client Manager Productivity Optimization Model — a full-stack analytics solution covering data ingestion, pipeline design, modeling in Dataiku, and senior management reporting, serving over 10 stakeholders across business units. ●Built end-to-end data pipelines by consolidating fragmented multi-source datasets using Power Query and Excel, transforming raw operational data into structured, reusable reporting layers with consistent lineage. ●Designed and implemented optimization logic to quantify task effort allocation for a newly established client manager function, improving workforce capacity planning and resource forecasting accuracy. ●Developed interactive dashboards to surface productivity drivers, task distribution metrics, and optimization signals for C-suite visibility. ●Automated recurring reporting workflows, reducing manual process time by ~30% and improving data consistency across business units. ●Bridged business and technical stakeholders — managing requirements gathering, solution design, and delivery end-to-end as both project lead and hands-on engineer.
Assistant Team Lead Quantitative Research
Consulting
Sep 2024 - Jul 2025 • 10 mos
●Designed and maintained analytical data pipelines using Snowflake SQL — including data sourcing, transformation, cleaning, and structuring for downstream predictive models and client-facing reporting. ●Built Python-based time-series forecasting and customer segmentation models, applying techniques such as cyclical pattern analysis, behavioral segmentation, and correlation modeling. ●Developed modular analytical workflows that connected raw data sources through transformation layers to predictive model outputs, following principles aligned with dbt-style layered data modeling. ●Created interactive cashflow and scenario planning models enabling clients to stress-test assumptions and observe downstream financial impacts in real time. ●Automated ad hoc reporting pipelines and data extraction tasks, reducing analyst turnaround time by ~35% on recurring deliverables. ●Presented model findings and data-driven recommendations to senior management and clients, translating complex analytical outputs into actionable business decisions. ●Mentored junior analysts in quantitative methods, SQL best practices, and structured analytical thinking.
Actuarial Analyst
AIA Singapore
Oct 2022 - Aug 2024 • 1 yr 10 mos
●Developed and maintained actuarial models with structured data inputs and automated processing logic to support regulatory and internal reporting requirements. ●Migrated legacy SQL-based data processes into Alteryx workflows, improving pipeline reliability, execution speed, and data preparation consistency. ●Automated recurring data transformations across reporting, modeling, and regulatory submission pipelines, reducing manual intervention and error risk.