Senior VP, Capital Allocation

Overview

Arrow Global is a leading, vertically integrated alternative asset manager specialising in private credit and real estate. We are seeking an accomplished and strategic senior leader to join our Capital Allocation team as a Senior VP.

Capital Allocation

London

The successful candidate will drive strategic insights and capital planning initiatives, influencing decisions across fundraising, investment selection, portfolio management, valuation, and business intelligence. Working closely with senior leadership and cross‑functional teams you’ll optimise capital allocation and fund performance, while supporting firm‑wide growth objectives.

• Design and oversee financial models and performance frameworks to assess profitability, risk, and return on deployed capital across investment strategies.
• Act as a senior stakeholder in fundraising efforts, supporting capital formation teams with return modelling, investor communications, and product structuring.
• Present insights and recommendations to executive leadership and Investment Committee members.
• Mentor and guide junior team members, fostering analytical rigour and knowledge sharing across the Capital Allocation team.
• Drive continuous process improvement, ensuring the Fund Management area maintains a best‑in‑class operating framework for capital decision‑making.

We look for a highly motivated, commercially astute leader with a strong analytical foundation and experience operating in a fund management, investment banking, or private equity environment.

• Strong academic background in Business, Finance, Economics, or STEM‑related fields; postgraduate qualifications preferred.
• 8+ years of relevant experience, with a proven track record in banking, corporate finance, private equity, or fund management.
• Demonstrated leadership in managing complex modelling, valuation, and performance frameworks.
• Deep knowledge of fund economics, performance attribution, and investor reporting.
• Highly proficient in Excel and financial modelling; familiarity with data tools (Power BI, Anaplan, Dynamics 365) is advantageous.