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About the Role
We are looking for a Quantitative Analyst to join our Investments Quantitative team at L&G Institutional Retirement. The team supports various investment and retirement teams with quantitative model development and analysis, primarily using Python, for fixed income, liability modeling, portfolio optimization, and risk analytics.
Responsibilities
- Developing and enhancing financial models using Python for fixed income asset and pension liabilities modeling, portfolio optimization, portfolio management, risk analytics, and capital/SCR modeling.
- Proactively improving existing tools and processes, including calculation efficiency, use of new libraries, code quality, and testing.
- Supporting processes and tools to remove manual handovers and reduce duplication.
- Supporting Investments teams with tool usage, troubleshooting, methodology advice, and implementing improvements.
- Taking ownership of platform issues affecting tool usage and escalating for resolution.
- Ensuring business and system changes adhere to best practices and IT Change Management Standards.
- Collaborating with team members to develop accurate and well-tested solutions for technical problems.
- Working closely with the business to support and improve tools used across the Investments function.
Requirements
- Python development experience, including NumPy, SciPy, Pandas, or Polars.
- Strong programming skills and understanding of computer science fundamentals (algorithms, data structures, complexity).
- Understanding of financial engineering concepts (no-arbitrage principles, risk-neutral methods, derivative pricing, VaR).
- Familiarity with portfolio analytics, portfolio management, and relative value assessment.
- Experience developing applications or large Python libraries and interfacing Excel with Python (COM or xlwings).
- Experience with SQL, Snowflake, or similar platforms.
- Experience using portfolio risk analytics tools such as BlackRock Aladdin, State Street Alpha, or SimCorp.
Skills
- Python
- NumPy
- SciPy
- Pandas
- Polars
- Algorithms
- Data Structures
- Complexity
- Financial Engineering
- No-arbitrage principles
- Risk-neutral methods
- Derivative pricing
- VaR
- Portfolio analytics
- Portfolio management
- Relative value assessment
- Excel interfacing
- COM
- xlwings
- SQL
- Snowflake
- Cloud-based development
- VBA
- BlackRock Aladdin
- State Street Alpha
- SimCorp
Location
- London, One Coleman Street
Work Type
- Permanent
- Full-time
Benefits
- Annual, performance-related bonus plan
- Valuable share schemes
- Generous pension contribution
- Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday, plus public holidays (26 days after 2 years’ service)
- Option to buy and sell holiday
- Competitive family leave
- Electric car scheme (permanent employees only)
- Discounts on own products and at high street stores/online
About the Company
- Legal & General (L&G) is a leading UK financial services group and major global investor.
- We have been safeguarding financial futures since 1836, striving to build a better society and improve lives.
- We are one of the world's largest asset managers with powerful asset origination capabilities.
- Our Institutional Retirement business is the UK's longest-serving active bulk annuity provider, operating continuously since 1987.
- We look after around 700,000 institutional customers with secured retirement benefits.
- We are creating net-zero carbon workplaces by 2030.
- We believe in generating positive returns while helping to build a better future for all.
- We foster a welcoming, inclusive culture with opportunities to collaborate with diverse individuals.
- We are guided by leaders with integrity who care about employee future and wellbeing.
- We empower employees through initiatives that support career development and excellence.
Equal Opportunity
- We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time and job shares.
- It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.