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Data-Driven Portfolio Manager

2 months ago

London, Greater London, United Kingdom 7IM Full time
About the Role

Overview

This is a junior to mid-level position supporting the Strategy and broader Investment Management teams at 7IM. The focus is on providing technical skills to manage data and build tools to improve the quality and scalability of the team's investment process. The new hire will contribute to the development of alpha-generating strategies, drawing from a combination of financial literature as well as own market knowledge. Although some level of programming experience is important, more so is an enthusiasm to apply and learn new skills relating to quantitative approaches to portfolio management.

Through time, it is envisaged that this role would progressively move to spending more time building tools and models, as opposed to supporting others in constructing them. Eventually, this should lead to risk-taking, proposing investment actions within portfolios based on quantitatively defined rationales.

About You

Responsibilities

  • Support Strategy team members in developing tools to help guide asset allocation, contributing to the ongoing development of the Strategic Asset Allocation (SAA) and Tactical Asset Allocation (TAA) components of 7IM multi-asset investment process.
  • Manage the team's data creation and storage, ensuring all target position data are uploaded in a timely fashion and integrity is maintained to the highest standards.
  • Support the creation of model portfolios by supplying data to the PMs on a variety of asset risk and static data.
  • Support the portfolio management team in the execution of fund trades.
  • Support the Strategy and Portfolio Management teams with ad-hoc requests in support of research projects.
  • Comply with 7IM's VPVPs other Treating Customers Fairly (TCF) and SMCR requirements.

Knowledge and Skills

  • An interest in investment management, including asset allocation and the implementation of investment views
  • Keen to develop an understanding of investment portfolio theory, portfolio construction and risk techniques in a multi-asset context

Qualifications and Experience

  • Masters, or strong undergraduate degree in a subject with quantitative content is preferred
  • Preferably gained, or working towards gaining, the CFA or equivalent

Key Requirements

  • Capability to learn to use judgement and formulate investment actions.
  • Ability to work as part of a team and adapt to the changing needs as appropriate
  • Be able to understand, interpret and replicate financial academic literature
  • An enquiring and curious mind willing to learn new skills and adapt to new tasks
  • Comfortable in working with large amounts of data, including querying and uploading data (preferably using a tool such as SQL)
  • Experience in at least one of R, MATLAB or Python, preferably in a commercial setting or as part of academic studies
  • Experience in using VBA preferable