At a Glance
- Tasks: Design and maintain advanced quantitative models for asset and liability management.
- Company: Join Pension Insurance Corporation, a leader in secure retirement income and risk management.
- Benefits: Enjoy private medical insurance, 28 days annual leave, and a generous pension scheme.
- Why this job: Be at the core of investment strategy, driving real impact for policyholders and the business.
- Qualifications: Degree in a quantitative field; experience in complex modelling and financial products is essential.
- Other info: Collaborative culture with opportunities for personal growth and learning.
The predicted salary is between 43200 - 72000 £ per year.
Pension Insurance Corporation (“PIC”) provides secure retirement incomes through comprehensive risk management and excellence in asset and liability management, as well as exceptional customer service. Our purpose is to pay the pensions of our current and future policyholders. We achieve our purpose by setting Company-wide strategic objectives and driving a healthy culture based on our PIC Values of Resilient, Adaptable, and Loyal.
PIC has a fantastic opportunity for a Quantitative Portfolio Manager to join its ALM Securities & Derivatives department. In this role, you will be responsiblefor designing, developing and maintaining key models within the ALM Team which inform asset selection.The role will further involve working closely with other teams across the ALM Securities & Derivatives department to risk manage the business, drive transactions and identify market opportunities. It will also involve applying knowledge and insights concerning the Asset Liability Management of the Investment Portfolio and how this impacts our policyholders.
The ALM Securities & Derivatives department is at the core of PIC’s business and generates value through the management and optimisation of assets versus liabilities. Seeking to optimise PIC’s investment strategy in line with the firm’s risk appetite, it is comprised of individuals with varied investment backgrounds (Portfolio Managers, Quants and Actuaries).
Specific accountabilities assigned to the role of Quantitative Portfolio Manager:
- Responsible for the design, enhancement and maintenance of advanced quantitative models and systems to support the generation of value through management and optimisation of assets and liabilities.
- Lead the enhancement of bulk annuity pricing and implementation optimisation models, improving functionality and algorithms to support efficient portfolio construction and maximise implementation performance.
- Take ownership of key modelling initiatives, working independently and guiding junior team members in the development of tools and methodologies for portfolio construction, asset selection and risk monitoring.
- Collaborate actively with the ALM team and wider investment team, contributing to strategic analysis and identifying opportunities to improve balance sheet metrics and portfolio outcomes.
- Takes ownership for their own learning and development in both technical (e.g. data analysis and critical judgement) and non-technical (self-insight and relationship management) skills across the Investments Team.
- Keeps informed of industry trends, market developments and regulatory changes in the public and private sectors, as well as best practices related to SII by attending industry seminars, reading and sharing relevant published articles.
Experience:
- Qualification : Degree in a quantitative discipline such as mathematics, physics, engineering. Advanced qualifications such as a PhD, FIA, or CFA are advantageous but not essential.
- Quant Experience : Strong experience independently delivering complex modelling and analytical tasks with clear business impact.
- Front-Office Experience : Proven ability to operate in a fast-paced investment environment, translating quantitative insights into actionable decisions and meet tight deadlines.
Knowledge:
- Financial Product Knowledge : Good understanding of fixed income products, derivatives, and familiarity with LDI strategies.
- Strong Financial modelling : Derivative modelling, especially LPI
- Regulatory Insight : Solid understanding of Defined Benefit pension schemes and Solvency II.
- Technical Awareness : Familiarity with API usage, SQL, and integration with modelling infrastructure.
Skills:
- Proficiency in Python and/or MATLAB, with experience developing and maintaining quantitative models.
- Solid problem-solving skills and the ability to work with complex financial datasets.
- Ability to conceptualise complex problems, influence stakeholders, and clearly convey ideas across technical and non-technical teams.
- Ability to prioritise effectively, coordinate tasks, and ensure timely delivery of high-quality results.
Desirable personal attributes aligned to what success looks like in the role:
- Intellectually curious with a willingness to learn through own research.
- Strong problem-solving skills using consultative questioning to challenge current norms and drive change within the business function.
- Effective communicator – structures insights into clear messages and effectively engages others within business function, as well as internal stakeholders, professional and regulatory bodies.
- Innovative thinker – positive attitude to change and a willingness to embrace new ideas and techniques to improve performance.
- Collaborative Working Style
In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days\’ annual leave (excluding bank holidays), a generous pension scheme and much more.
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Quantitative Portfolio Manager employer: Pension Corporation
Contact Detail:
Pension Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Portfolio Manager
✨Tip Number 1
Familiarise yourself with the latest trends in asset liability management and quantitative modelling. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and investment sectors, especially those who work in ALM or quantitative roles. Attend industry seminars and workshops to build connections and gain insights that could be beneficial for your application.
✨Tip Number 3
Brush up on your technical skills, particularly in Python and MATLAB. Consider working on personal projects or contributing to open-source projects that involve quantitative modelling to showcase your abilities.
✨Tip Number 4
Prepare to discuss specific examples of how you've used quantitative analysis to drive business decisions in previous roles. Being able to articulate your impact clearly will set you apart from other candidates.
We think you need these skills to ace Quantitative Portfolio Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative modelling, asset liability management, and financial products. Use specific examples that demonstrate your ability to deliver complex analytical tasks with clear business impact.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills in Python or MATLAB, along with your understanding of fixed income products and derivatives, make you a strong candidate for the Quantitative Portfolio Manager position.
Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your problem-solving abilities. Highlight situations where you've used consultative questioning to challenge norms and drive change, as this aligns with the desirable personal attributes for the role.
Demonstrate Continuous Learning: Mention any recent industry seminars, articles, or courses you've engaged with to stay informed about market developments and regulatory changes. This shows your commitment to personal development and staying current in the field.
How to prepare for a job interview at Pension Corporation
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative modelling and analytical tasks. Highlight specific projects where your work had a clear business impact, especially in asset management or risk assessment.
✨Demonstrate Financial Product Knowledge
Familiarise yourself with fixed income products, derivatives, and LDI strategies. Be ready to discuss how these concepts relate to the role and how you can apply them to optimise investment strategies.
✨Communicate Clearly and Effectively
Practice explaining complex financial concepts in simple terms. This will show your ability to convey ideas across both technical and non-technical teams, which is crucial for collaboration within the ALM team.
✨Stay Informed on Industry Trends
Research current trends and regulatory changes in the pension sector, particularly around Solvency II. Being knowledgeable about the latest developments will demonstrate your commitment to continuous learning and your proactive approach.