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Job Overview
We are seeking a highly skilled Fixed Income Quantitative Analyst to join our successful team at Legal & General. This role will contribute to the development of both systems infrastructure and quantitative fixed income models to support the investment, risk, and attribution capabilities of the team.
Key Responsibilities
- Develop and continually enhance the data and model platform and associated analytics used to support investment, risk, attribution, new business development, and new asset classes.
- Contribute to the development of quantitative fixed income models and associated governance framework to support investment, risk, attribution, and pricing portfolio construction.
- Work with the portfolio management team to deliver robust, relevant, and scalable analytical solutions.
- Build intellectual capital by performing strategic research and analysis that applies the latest financial knowledge to topical issues in the industry while working with other team members.
- Take part in IT systems projects and business process projects that affect the team and related business areas.
- Ensure effective utilization of enhanced data, analytical, risk engine, and portfolio management capabilities.
- Collaborate with associated teams (e.g. collateral management/margining; derivative pricing) to ensure new operational/business processes are implemented in the most effective way.
- Support investment analysis relevant to the client balance sheet and the Investment Management Agreement.
- Ensure relevant instruments are priced and analyzed in line with market conventions and methods and can be reported on appropriately.
- To include evaluating actual and potential collateral use where products are collateralized or margined.
- Ensure that any actions taken with respect to managing client portfolios are in accordance with LGIM's Treating Customers Fairly policy.
Requirements
- Strong fixed income modeling knowledge including derivatives across credit, rates, and inflation.
- .NET, Python, Matlab, or C# programming experience.
- Good knowledge of risk management practices and practical constraints in implementation.
- Understanding of a broad range of investment management concepts such as efficient frontiers, capital asset pricing model, active vs. index, etc.
- High degree of proficiency with IT including strong programming skills in at least one language.
- Knowledge of the regulatory and legislative landscape as it relates to pension schemes and to de-risking.
- Prior exposure to work involving pension schemes and/or insurance clients.
- Ability to execute quickly on client projects including data gathering and validation.
- Building and maintaining models for pricing, portfolio construction, and portfolio management of derivative strategies designed to hedge risks and enhance returns.