At least 2 years of industry experience, gained within an insurer, asset manager, investment bank, or consultancy
Previous experience with investment and ALM strategies utilised by insurers when managing assets invested to meet long-term liabilities, balance sheet management and portfolio optimization
Strong knowledge of life insurance products and regulatory and accounting constraints under which insurers operate
Good understanding of modern financial mathematics (e.g. option pricing, hedging, stochastic processes, Monte Carlo simulation, interest-rate modelling)
Demonstrable practical experience in coding with Python, VBA, or other programming languages, specifically applied to asset and liability modelling
Skills commensurate with holding an investment, risk management, actuarial or other technical role in a life insurance, reinsurance or banking environment would be advantageous
Advanced degree in mathematics, engineering, economics, or other technical discipline
Responsibilities
Develop a thorough knowledge of BlackRock’s existing systems, tools and other capabilities which are of relevance to modelling the assets and liabilities of insurers
Contribute to the development of balance sheet projection models and optimization tools to provide deep insights into the construction of optimal insurance portfolios, taking into account insurance specific objectives and constraints
Contribute to the broad development objectives of the team’s global analytical platform across framework input assumptions, optimization methodologies and liability cashflow aware analytics
Maintain strong relationships with internal partners in the Financial & Strategic Investors Group, the BlackRock Investment Institute, Aladdin Financial Engineering and relevant investment teams to drive enhancements in analytical capabilities of relevance to insurers
Keep abreast of the implications of regulatory, accounting and capital frameworks on investment and risk management decisions made by insurance companies
Undertake complex ALM, strategic asset allocation and capital management exercises to design portfolios and strategies that provide good trade-offs between capital charges, return, volatility, transaction costs and liquidity needs