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ALM Quantitative Strategist

Non-disclosed London, United Kingdom
Posted 2 days ago Hybrid Job Permanent £120k - £130k
My client is a large pension investment fund. This new role, within fiduciary management, will contribute to developing ALM models and datasets, along with innovative ALM quantitative research. You'll translate prototype research models to production-stage, working closely with IT. Other types models you may cover include portfolio construction, capital market assumptions, and client portfolio management. You'll be a highly motivated, passionate problem-solver, with a keen interest in quantitative ALM modelling. You will have the opportunity to develop your career trajectory, building on a diverse skillset including statistics, strategic research and programming

 

 

Accountabilities

  • Continuously improve the model and data systems and analytics to better support client investment advice and day-to-day asset liability management.
  • Engage in IT systems and agile change projects that impact the team and related key business areas. Work closely with IT to understand the company’s wider modelling, data infrastructure and change management processes, and leverage a close working relationship to support the team
  • Collaborate with associated teams (e.g. Fiduciary Clients, Client Portfolio Management, Investment IT) to ensure new ALM processes are implemented in the most effective way.
  • Collaborate closely with other members of the ALM team to perform quantitative analysis, including contributions to ALM Forum research and client investment strategy advice.
  • Support the development and improvement of research analytics across key areas like portfolio construction and capital market assumptions.
  • Collaborate with the broader Fiduciary Management team to help translate prototype models and code as they transition to production. Be part of the team responsible for the ongoing build-out of a market leading quant Fiduciary Management platform.

What we are looking for

  • Strong programming skills in Python, Git/version control, API, SQL for financial modelling and data management.
  • Genuine interest in statistics and a willingness to learn and apply statistical techniques.
  • Good organizational skills with an emphasis on accurate and detailed documentation.
  • Enthusiasm for research and the ability to contribute to research projects.
  • Strong collaboration and communication skills.
  • A purpose-driven attitude and a desire to support the organization's mission.
  • Whilst experience of pensions is desirable for this role, if your experience only matches a few of these requirements, we encourage you to apply. We welcome applications from diverse backgrounds with candidates judged on their ability to make the team and business perform better, rather than their individual profile.

The role sits in the Asset Liability Modelling and Research Analytics (ALM) team within Fiduciary Management (FM). It is a permanent role based in the London office with hybrid working options.

Benefits with role

  • A competitive salary (depending on experience)
  • 28 day annual leave plus bank holidays
  • Generous annual bonus plan
  • Membership of a Defined Benefit arrangement under which you get a pension for life and a lump sum when you retire, based on your length of service and pay
  • 4x Life Assurance cover
  • Colleague referral scheme

Health

  • Private Medical Insurance
  • Employee assistance programme
  • Health cash plan
  • Eye care vouchers
  • Flu vaccination

Lifestyle

  • Hybrid and flexible working along with very generous family leave including 12 months full pay maternity leave and 6 months full pay paternity leave
  • Buy and sell holidays
  • Give as you earn scheme
  • Paid volunteering days
  • Flexible half days leave
  • Electric vehicle leasing
  • Cycle to work scheme

 

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