Quantitative Investment Product Lead

Quantitative Investment Product Lead

Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the strategy for quantitative investment technology and enhance decision-making across global teams.
  • Company: Ares Management, a leading firm in investment technology.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Why this job: Shape the future of investment technology and collaborate with top-tier professionals.
  • Qualifications: Experience in quantitative product management and strong collaboration skills.

The predicted salary is between 63000 - 77000 £ per year.

Ares Management invites an Assistant Vice President–level Quantitative Product lead to define and deliver the product strategy for quantitative investment technology across the firm’s global investment platform. The role sits within Investment Technology Product Management and serves as the product liaison to global Quant teams, coordinating with Quant Research, data, and engineering to embed quant capabilities into the wider organization and improve investment decision-making.

Quantitative Investment Product Lead employer: Ares Management

Ares is an exceptional employer that prioritises a collaborative and inclusive work culture, fostering an environment where diverse talents can thrive. As an Associate Vice President, Product Manager in Credit Technology, you will have the opportunity to shape innovative technology products that enhance investment decision-making while benefiting from robust career development programmes and a commitment to employee growth. Located in a dynamic industry, Ares offers a unique chance to be part of a team dedicated to driving shared prosperity and a better future.

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Contact Details:

Ares Management Recruitment Team

We think you need these skills to ace Quantitative Investment Product Lead

Product Strategy Development
Quantitative Investment Knowledge
Investment Technology
Coordination Skills
Collaboration with Quant Research
Data Management
Engineering Liaison