Senior Analyst, Pricing & Data Analytics

This role aides the Head of ALM, Data Analytics & Research (“HOD”) in development of pricing models and implementation of pricing strategies to enhance revenue and profitability. This position involves collaborating with cross-functional teams, analysing market dynamics, and contributing to the overall business strategy. This role will support the HOD in leveraging data-driven insights to guide decision-making and in automating internal pricing/data analytics processes, wherever relevant, for efficiency. Assist in applying data-driven approaches to solve complex business problems and optimize processes.

RESPONSIBILITIES:

• Supports HOD for internal pricing model development for all existing, enhancement and new products, inclusive of appropriate credit risk model and/or any other relevant secondary models required for pricing. Some examples of products are Purchase without Recourse (PWOR) (akin to securitisation of mortgages), mortgage guarantees, and reverse mortgage.
• Assist HOD in developing and executing pricing strategies aligned with business goals and market conditions.
• Conduct comprehensive market analysis to understand customer behaviour, competitors, and industry trends influencing pricing decisions.
• Contribute to the design and optimization of pricing models to balance profitability with market acceptance/competitiveness.
• Collaborate closely with business, risk, treasury, finance, and product teams to align pricing strategies with broader business objectives.
• Assist HOD in conducting financial analyses to assess the impact of pricing decisions on overall profitability.
• Utilize data analytics and market research to assist HOD to make informed pricing decisions and adjustments.
• Ensure pricing strategies comply with the internal Pricing Framework.
• Support the development and mentorship of pricing team members, fostering a collaborative work environment.
• Identify opportunities for process improvement and contribute to the implementation of the best practices in pricing.

Data Analytics:

• Assist HOD in applying data-driven approaches to solve complex business problems and optimize processes.
• Support HOD to develop appropriate data analytics for pricing assumptions and for monitoring the performance of the pricing. This includes credit risk models, financial risk models and any other relevant risk models.
• Automate complex pricing/data analytics processes to facilitate process efficiency.
• Support HOD in the development of advanced analytics and machine learning models to extract valuable insights from data. Deployment, if applicable, in collaboration with IT.
• Identify opportunities for process improvement and implement best practices in data analytics/science methodologies.
• To support the HOD and CFO for pricing related matters including preparation of pricing approval paper for ALCO and Management Executive Committee (MEC).
• Timely preparation of board related matters to support HOD and CFO.
• To undertake any duties or special projects as may be assigned from time to time by HOD and CFO.

REQUIREMENTS:

• Minimum 5 years of working experience in related field, preferably in pricing and/or data analytics.
• Proficiency in financial modelling and forecasting.
• Strong analytical and quantitative skills with the ability to interpret complex financial data.
• Able to develop appropriate financial and risk models as required for pricing of financial products, including guarantee products.
• Able to develop robust and complex pricing models. Understand and ability to model financial risk and credit risk.
• Understand and able to apply the concepts of financial mathematics, risk modelling, data analytics, accounting, and financial management.
• Knowledge and experience in asset securitisation will be an advantage.
• Attention to detail and ability to identify discrepancies or inefficiencies in financial processes.
• Ability to work cross-functionally with finance, risk, treasury, and business unit teams to align pricing strategies.
• Skills in Excel, SQL, R/Python and Power BI are required.