Quantitative Researcher (Private Assets)

TL;DR

Quantitative Researcher (Private Assets): Conducting quantitative research on private assets to support asset allocation advice and investment solutions with an accent on cash flow forecasting, J-Curve analysis, and return attribution. Focus on applying econometric and machine learning techniques to complex financial datasets and communicating insights to clients and wealth advisors.

Location: London, United Kingdom (Onsite)

Company

A leading global investment banking, securities, and investment management firm founded in 1869.

What you will do

• Lead research on private assets within the Investment Strategy Group.
• Develop and implement innovative investment solutions for high-net-worth clients.
• Perform cash flow forecasting, J-Curve analysis, and liquidity management.
• Collaborate with global investment research and alternative capital markets teams.
• Communicate complex technical concepts to clients and wealth advisors.

Requirements

• PhD or Masters in Finance or Economics from a top department.
• Proven experience working with private assets data in academic or industry settings.
• Expertise in econometric and machine learning techniques.
• Proficiency in Python, Matlab, or R.
• Strong analytical, logical, and critical thinking skills.
• Ability to handle multiple concurrent projects with high attention to detail.

Culture & Benefits

• Access to extensive training and professional development opportunities.
• Commitment to diversity, inclusion, and firmwide employee networks.
• Comprehensive wellness, personal finance, and mindfulness programs.
• Collaborative environment focused on global investment management.