Director/Senior Manager, Group Investments (ALM Modelling)

FWD Group Management Holdings; Hong Kong; Sur place; HKD 1 200 000 - 2 000 000; Plein temps

Résumé du poste

FWD Group is seeking an ALM Analytics Lead to develop and enhance the Group's asset modelling capabilities, including valuation models, ESG tooling and stress testing within a market-consistent framework. The role focuses on asset risk analytics, model governance and data quality.

You will collaborate with actuarial, finance and risk functions across markets to provide clear commentary on asset risk positions, support SAA/TAA and portfolio optimization, and deliver governance materials for

Qualifications

• 10+ years of experience in asset modelling, quantitative finance or risk management.
• Degree in Quantitative Finance, Economics, Mathematics or related field.
• CFA/FRM or equivalent strongly preferred.

Responsabilités

• Develop and automate asset valuation models across asset classes.
• Create and maintain ESG and market risk factor models.
• Support portfolio optimization and asset return modelling.
• Ensure model governance, data quality, and documentation.
• Provide analysis on asset risk positions for governance forums.

Connaissances

Asset modelling

Quantitative finance

Python

R

Matlab

Stochastic simulation

ESG modelling

Communication

Formation

Degree in Quantitative Finance, Economics or Mathematics

CFA / FRM or equivalent

Outils

Python

R

Matlab

Description du poste

About FWD Group

FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves over 40 million customers across 10 markets, including BRI Life in Indonesia. FWD's customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the Hong Kong Stock Exchange under the stock code 1828. For more information, please visit www.fwd.com

PURPOSE

This role will support the ALM Analytics Lead to develop, maintain, and enhance the Group's asset modelling capabilities, including asset valuation models, ESG, stress testing tools etc., to enable robust asset-side analytics under a market consistent valuation framework.

KEY ACCOUNTAIBILITIES

• Develop, maintain and drive automation of asset valuation models for various asset classes, including but not limited to fixed-income, alternatives, real estates, derivatives etc., including asset risk analytics such as duration, KRD, convexity, etc.
• Develop and maintain Group economic scenario generator (ESG) models for various market risk factors
• Support SAA/TAA and portfolio optimization exercises through asset return modelling and stochastic simulation.
• Provide advice on economic risk calibrations of different asset classes
• Provide timely inputs to the regular monitoring of ALM risk metrics, focusing on asset-related valuation and stress testing
• Ensure model governance, data quality, validation, and controls are in place, with clear documentation and compliance with internal policies and best practice
• Provide clear analysis and commentary on changes in asset risk positions
• Acting as SME on asset risk analytics to collaborate with other Group and BU functions (e.g. actuarial, finance and risk teams), and provide advice on asset risk modelling as necessary
• Prepare materials for GALMCO, GRC and other governance forums as necessary

QUALIFICATIONS / EXPERIENCE

• 10+ years of experience in asset modelling, quantitative finance or risk management
• Degree in Quantitative Finance, Economics, Mathematics or related discipline
• Professional qualification (CFA / FRM or equivalent) strongly preferred

KNOWLEDGE & TECHNICAL SKILLS

• Solid understanding of various asset classes, including their risk characteristics
• In-depth knowledge in different modelling approaches of yield curves, credit spread, equity, FX and other market risk factors
• Strong quantitative programming skills (Python, R, Matlab or equivalent)
• Experience with stochastic simulation techniques and economic scenario generators.
• Strong analytical skills and attention to details, with focus on data quality, controls, and governance
• Clear communication of results and ability to draft clear and concise commentary
• Good understanding of stress testing and scenario analysis frameworks