About our service
In a landscape as dynamic and complex as today’s, optimal outcomes cannot be left to chance. With smarter predictions powered by advanced analytics, you can expect better, more timely outcomes. Covering challenges from traditional modelling to advanced AI/ ML model, our team combine deep, quantitative, financial-focused modeling with business insights so you can look forward and proceed with confidence.
Connecting a diverse team of financial engineers, data scientists and risk consulting, we can enhance business decision making through data analytics and modeling, and help our clients to act decisively on the issues that really matter. Beyond data, models and systems, we combine a ‘top-down’ and ‘bottom-up’ approach designed to obtain a holistic view from data within an organisation.
How we can help
Banking quantitative modelling
Our team of experienced modellers have deep expertises and strong capabilities to support financial institutions in addressing the latest regulatory issues and tackle them with end-to-end modelling solutions. We also assist financial institutions on building commercially efficient internal models with a forward-looking approach to help facilitate business stakeholders in harmonising profit- and risk-based decision making, capital planning, marketing activities, and product developments.
As a regional practice, we are currently engaged in diverse model development and analytical projects for both regulatory and management purposes covering various regulatory standards such as IFRS Compliance, Basel Accords and projects related to scorecards development, economic capital modelling and balance sheet and income statement stress testing, among others, with various international financial institutions across APAC.
Key focus area:
- Quantitative risk measurement including Basel IRB Modelling and IFRS Modelling
- Digitalisation based on process and data
- EWS Modelling
- AI/ML modelling
- Model Validation & Enhancement
- Digital banking
- Deals support
Data analtyics and insights
As the world becomes more complex, corporate leaders need better and more insights to aid their strategic decisions. Decision-making and problem-solving using advanced quantitative techniques has always been a hot topic in various operations. With diverse and complex quantitative modelling experience across the region, we extend our modelling services to clients who need support in using their data to understand, quantify, and forecast their operations. We can help you in areas including data collection and cleansing, quantitative modelling (e.g. operation modelling, attrition forecasting, macroeconomic modelling, and strategic workforce planning and retention optimisation) and data visualisation and reporting.
Key focus areas:
- Data Analytics & Insights for all industries (retail, manufacturing, supply chain, healthcare, etc.)
- Data sourcing, storage, aggregation, transformation and standardisation
- Data availability and data quality assessment and cleansing
- Operation modelling
- AI/ML modelling
- Data visualisation, Report, Dashboard
- System Dynamics modelling
Application of modelling and data analytics
With a team having deep experience in business process, strategic thinking, data analytics mindset and system implementation, we provide credit target operating model design and credit process enhancement services to financial service to help our clients to increase operation efficiency, optimise profitability and improve customer satisfaction at multiple touch points. We can assist you on achieving the goals by determining pain points, recommending solutions, build TOM model and providing road map for establishing long-term strategy.
Key focus areas:
- Loan Origination
- Collateral management
- Credit monitoring
- Debt collection
