Multi-Asset Quantitative Strategist

Seven Investment Management; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

Seven Investment Management (7IM) is seeking a mid‑level Quantitative Investment Specialist to support the Quantitative and broader Investment Management teams in London. The role focuses on portfolio construction within a multi‑asset framework and on strategy selection, design, and sizing for liquid alternatives including QIS from external counterparties.

You will also contribute to evolving alpha-generating strategies, leverage data to improve processes, and apply quantitative methods.

Qualifications

• Strong interest in investment management and asset allocation
• Understanding of portfolio theory and risk in multi-asset context
• Familiarity with visualization tools (PowerBI) and web apps preferred
• Experience with sell-side QIS strategies preferred

Responsibilities

• Assist Strategy team in developing tools for asset allocation and SAA/TAA components
• Support research projects and thought leadership with ad hoc requests
• Contribute to development of quantitative investment platform
• Manage data creation and storage with high integrity
• Support model portfolio creation by providing asset risk data
• Assist in execution of fund trades
• Comply with VPVPs, TCF and SMCR requirements

Skills

Python

Azure tools

Git

Data handling

PowerBI

Communication of complex concepts

Education

Master’s degree or quantitative undergrad

CFA or equivalent (preferred)

Tools

Azure

Git

Job description

Seven Investment Management (7IM) is seeking a mid‑level Quantitative Investment Specialist to support the Quantitative and broader Investment Management teams in London. The role focuses on portfolio construction within a multi‑asset framework and on strategy selection, design, and sizing for liquid alternatives including QIS from external counterparties.

You will also contribute to evolving alpha-generating strategies, leverage data to improve processes, and apply quantitative methods.