Senior Investment Analyst TAA and Portfolio Oversight

Company Description

Legal & General (L&G) is a leading UK financial services group and major global investor.

We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving lives of our customers and creating value for shareholders.

We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.

L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer.

Our Institutional Retirement business is the UK’s longest-serving active bulk annuity provider.

Institutional Retirement is the only insurer to have been operating continuously in the UK market from our entrance in 1987 to the present day. Our UK retirement annuity book stands at an estimated £86.1 billion at 31 December 2023.

Across our retail and institutional retirement businesses, we look after more than 1 million customers, around c.700,000 of whom are institutional customers who have had their retirement benefits secured with us.

Job Description

We’re currently recruiting for a Senior Investment Analyst – TAA and Portfolio Oversight to join our Institutional Retirement Investments team at L&G.

The Tactical Asset Allocation (TAA), Sovereigns and Portfolio Oversight team has responsibility for monitoring, steering and overseeing exposures and flows across asset classes in the matching portfolio, including cross‑asset trading and associated portfolio optimisation opportunities. For sovereign bonds and related interest‑rate products, this responsibility extends to oversight of the investment mandate.

This role has a primary responsibility of monitoring the asset allocation and positioning of the portfolio using a range of perspectives and metrics. The role holder will scope out and guide improvements to our suite of tools to monitor the portfolio and use these tools to conduct ongoing portfolio oversight.

What you’ll be doing:

• Understanding the investment process, the portfolio and the framework for holistic portfolio oversight, and mapping this to monitoring requirements across flows, exposures, risk appetite, limits and asset allocation preferences
• Commissioning and steering the development of tools to monitor portfolio positioning across multiple perspectives and levels of granularity, including aggregating data sources and calculating bespoke metrics
• Monitoring the portfolio using both newly developed and established tools and providing updates on developments, including proposing actions to maintain intended positioning
• Building relationships and collaborating with key stakeholders such as Investments Operations, Quantitative Developers and relevant teams across Asset Management to understand data, systems and future developments
• Contributing to the development of TAA activities, cross‑asset trading and portfolio management opportunities that align with Institutional Retirement objectives and comply with strategic and group limits
• Collaborating with ALM, Asset Management, Investment Operations, Investment Strategy and Finance to enhance portfolio and market analytics and ensure timely MI for tactical portfolio optimisation
• Applying a pragmatic and flexible approach to delivering reliable information and portfolio insights within a complex data environment
• Operating within mandates and risk limits and embedding Conduct Risk and Consumer Duty principles to support good customer outcomes

Qualifications

Who we’re looking for:

• Strong quantitative skills demonstrated through a quantitative degree or postgraduate qualification (progress towards CFA or equivalent desirable)
• Working knowledge of developing tools using SQL, Python and Excel
• Understanding of portfolio analytics, portfolio management concepts and fixed income markets
• Experience working with large, complex datasets across multiple sources

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