Resume
A results-driven professional specializing in finance transformation, process optimization, and data-driven insights across global institutions. Expertise in automation, predictive analytics, and emerging technologies like cloud, AI, and RPA, driving efficiency and innovation. Skilled in stakeholder collaboration, project management, and regulatory compliance, ensuring seamless integration of systems and strategies. Passionate about optimizing business performance through scalable, data-driven solutions.
Summary
Edward Ong
A results-driven professional skilled in finance transformation, process optimization, and data-driven insights. Experienced in workflow automation, predictive modeling, and leveraging emerging technologies to streamline operations. Passionate about driving innovation and optimizing business performance through scalable strategies.
- Kuala Lumpur, Malaysia
- edwardong1991@gmail.com
Education
Victoria University
Bachelor's Degree, Accounting and Finance
2011 -2013
Malaysia
Sunway College
Certified Accounting Technician (CAT)
2009 - 2010
Malaysia
Professional Experiences
Finance Transformation Manager
HSBC
Sep 2022 - Present
Menara IQ @ TRX, Kuala Lumpur, Malaysia
- Led strategic finance transformation initiatives, optimizing processes to enhance efficiency, accuracy, and scalability across financial operations.
- Implemented automation and digital solutions, reducing manual workflows and improving reporting accuracy through data-driven insights.
- Developed and executed project roadmaps, aligning resources, timelines, and objectives with business goals.
- Facilitated training programs, equipping finance professionals with digital skills for streamlined operations.
Senior Market Analyst
SWIFT
Dec 2020 - Aug 2022
The Vertical Business Suites, Kuala Lumpur, Malaysia
- Conducted in-depth market research to analyze trends, competitor activities, and customer behaviors, providing data-driven insights for strategic decision-making.
- Developed predictive models to detect anomalies and patterns in SWIFT data, serving as an early alert system for evolving business conditions.
- Created interactive dashboards and reports, transforming complex datasets into actionable insights for management and internal teams.
- Presented market findings to senior stakeholders, delivering clear and concise recommendations to support business development.
FinTech R&D Data Scientist
iFast Corporation Ltd.
Jun 2019 - Dec 2020
Menara AIA, Kuala Lumpur, Malaysia
- Developed and implemented computer vision algorithms, including face detection, facial landmark recognition, OCR, and deep learning-based object detection and facial recognition.
- Designed and deployed cloud server infrastructure on AWS, integrating Flask API for seamless backend communication, optimized for Linux OS.
- Proficient in building backend solutions from the ground up, ensuring scalable and efficient architectures.
- Experienced in constructing deep neural networks with TensorFlow, demonstrating expertise in network architecture, functionality, and limitations. Skilled in optimizing model training and evaluating model accuracy for improved performance.
- Developed and executed load testing scripts to assess system reliability, scalability, and performance under stress conditions.
Data Analyst
Fusionex International
Sep 2018 - Jun 2019
Plaza 33, Petaling Jaya, Malaysia
- Developed tailored use cases to meet client requirements, utilizing structured methodologies to achieve objectives while ensuring efficient timeline planning.
- Conducted comprehensive data analysis, extracting critical features to enhance predictive capabilities. This included pre-plotting strategies for improved visualization and interpretation.
- Performed data preprocessing, including cleansing, transformation, and integration to refine data quality. When external data sources were needed, implemented web scraping techniques for optimal data acquisition.
- Applied predictive and classification models, incorporating Deep Learning when the complexity of use cases demanded advanced techniques. Assessed models through accuracy comparison and benchmarking, followed by evaluating cost-benefit implications related to maintenance, new setups, and model rerun efficiency.
- Designed and developed interactive dashboards, compelling data visualizations, and structured documentation to present insights effectively, ensuring clients could leverage predictive outputs for strategic decision-making.
Data Contribution Representative
Bloomberg
May 2018 - Sep 2018
Petronas Tower 3, Kuala Lumpur, Malaysia
- Ensured data accuracy and quality by monitoring real-time financial data, identifying discrepancies, and implementing corrective measures to maintain high data integrity.
- Resolved technical issues related to Bloomberg terminals, assisting users with hardware/software troubleshooting, account setup, licensing, and login authentication.
- Provided customer support, responding to inquiries through phone, email, and internal systems, ensuring timely resolution of client concerns and technical challenges.
- Contributed to data feed development, collaborating with data providers to integrate new datasets, optimize existing feeds, and enhance Bloomberg’s financial data ecosystem.
- Worked closely with internal teams, including Product and Data departments, to resolve complex issues, improve system efficiency, and refine data workflows.
- Developed and implemented quality control initiatives, ensuring reliable and consistent financial data delivery to Bloomberg’s global customer base.
Financial Analyst
IBM
May 2015 - Apr 2018
First Avenue, Petaling Jaya, Malaysia
- Managed financial operations by retrieving, consolidating, and analyzing diverse datasets to generate monthly financial reports for strategic review.
- Built strong relationships with project executives, managers, and financial controllers to align financial strategies with business needs and expectations.
- Oversaw global cost allocation, managing IT-sector cost pools and distributing expenses across various regions.
- Analyzed cost behaviors and trends, improving forecasting accuracy and financial planning.
- Optimized reporting efficiency, automating Excel processes to minimize manual workload, enabling deeper financial impact analysis.