Quantitative Analyst

business Lunate
location_on Abu Dhabi
work full-time
A week ago

Description

About Lunate Lunate is a Partner-led, independent global alternative investment manager headquartered in Abu Dhabi, managing over $110 billion in assets. With a team of 200+ professionals, Lunate invests across the private markets spectrum—including buyouts, growth equity, venture capital, private credit, real assets, public equities, and public credit. The firm delivers bespoke solutions through SMAs and multi-asset class funds, aiming to generate best-in-class risk-adjusted returns. Role Overview As a Quantitative Investment Analyst, you will play a pivotal role in developing and implementing asset allocation and portfolio construction strategies across Lunate’s funds and SMAs. You will leverage advanced quantitative techniques to optimize capital deployment, support investment decision-making, and enhance portfolio performance across private markets. Key Responsibilities Design and implement quantitative models for asset allocation and portfolio construction across private market strategies. Analyze fund-level and SMA-level performance, risk exposures, and capital efficiency using statistical and financial modeling tools. Collaborate with deal teams to assess investment opportunities and integrate quantitative insights into portfolio decisions. Develop scenario analysis, stress testing frameworks, and optimization algorithms to support strategic capital allocation. Maintain and enhance firmwide analytical tools and dashboards for investment strategy and performance monitoring. Contribute to investment committee materials with data-driven insights and recommendations. Support the development of proprietary risk models tailored to private market assets. Qualifications Bachelor’s degree in Finance, Economics, Mathematics, or a related field; MBA or CFA designation preferred. 2–5 years of experience in investment management, with a focus on capital allocation and private markets. Strong quantitative and analytical skills, with proficiency in Python, R, MATLAB, or similar tools. Experience with portfolio optimization, Monte Carlo simulations, and statistical modeling. Familiarity with private market investment structures and valuation methodologies. Proven ability to interpret complex datasets and translate them into actionable investment insights. Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders. Strategic thinker with a deep understanding of market dynamics and investment frameworks. Ability to thrive in a fast-paced, collaborative environment. #J-18808-Ljbffr

Posted: 4th July 2025 6.49 am

Application Deadline: N/A

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