The Global Insurance Solutions team is a specialist, product agnostic investment strategy and structuring team which focuses on insurance clients and serves the entire BlackRock platform.
The team is comprised of Insurance, Investment and Analytics Specialists, with diverse backgrounds from across asset management, analytics, actuarial, insurance and consultancy.
A key component of the team’s role is the development of the modelling and analytical capabilities required to serve our clients.
We combine this with our insurance and investment capabilities to engage client businesses and portfolio managers across the whole firm to build new and innovative market leading investment solutions, and position existing BlackRock products with insurance clients.
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
Drive the ongoing development of optimisation models and tools, in collaboration with model development resources from the broader Insurance Solutions analytics team, to provide additional insight into the optimal construction of insurance portfolios and strategies, taking into account insurers’ requirements and constraints
Lead complex asset allocation or asset-liability management engagements, for a broad spectrum of asset classes, to help inform clients’ optimal investment strategy and provide support for client advisory assignments
Support the design, implementation, and validation of BlackRock’s in-house economic scenario generator, as well as maintaining the quarterly calibration of the generator upon its completion, with the assistance of analytical resources from BlackRock’s India team
Maintain strong relationships with internal partners in the BlackRock Investment Institute, Financial Modelling Group, Financial Institutions Group, and relevant investment teams to drive enhancements in analytical capabilities of relevance to insurers
Provide analytics and marketing materials to support the asset management sales process
Knowledge / Experience :
5+ years of quantitative modelling experience gained within an insurance company, asset manager, investment bank or consultancy
Comprehensive understanding of modern financial mathematics (e.g. bond mathematics, option pricing, hedging, stochastic processes, Monte Carlo simulation in real and risk neutral environment, interest-rate modelling) and portfolio construction analytics (e.
g. mean-variance optimization with constraints) are essential
Comprehensive understanding of insurers’ portfolio construction considerations, including but not limited to ALM and asset allocation frameworks and the use of derivatives with an insurance focus, is also essential
An understanding of the accounting, regulatory, risk management and strategic frameworks under which insurers operate
Excellent problem-solving abilities, intellectual curiosity, and experience understanding and solving complex issues
Strong interpersonal and communication skills
Practical experience of development in Python is a strong plus
Undergraduate and / or advanced degrees in mathematics, engineering, computer science, and / or actuarial science would be preferred
Professional designations such as CFA, FRM, FIA, FSA etc. would be viewed favorably, but is not essential
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.