Consultant Portfolio Strategy

Mubadala; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading global investment company based in Abu Dhabi is looking for consultants to enhance strategy systems and integrate AI into workflows. Candidates should have 5–10 years of experience in portfolio analytics and proficiency in Python. Responsibilities include improving monitoring through dashboards, automating processes, and collaborating with data vendors. This is a 6-month contract with potential for extension, contributing to the mission of sustainable investment growth.

Qualifications

• 5–10 years in business/portfolio analytics or consulting roles.
• Solid understanding of private markets and investment life cycle.
• Demonstrated experience with relevant systems and data providers.
• Proficiency in Python, including data manipulation and modeling.
• Ability to manage complex data projects and communicate insights.

Responsibilities

• Strengthen strategy systems and data flows.
• Improve portfolio monitoring with dashboards.
• Identify AI/automation opportunities across workflows.
• Build AI agents to support investment activities.
• Maintain analytical models for strategic analysis.

Skills

Business/portfolio analytics

AI adoption

System integration

Financial modeling

Python proficiency

BI expertise

Tools

eFront

BlackRock Aladdin

Power BI

Tableau

SQL

Job description

About Us:

This position is offered as a 6‑month contract with the possibility of extension based on business needs and performance. Continuation beyond the initial term is not guaranteed.

Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ bn assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.

Portfolio Strategy helps our Investment Committee focus on the longer‑term performance and sustainability of our portfolio.

We actively monitor the overall performance of our investments, the strategy execution progress, and the impact of various global trends and macro‑economic developments.

What you will do:

Work with the Strategy team to strengthen our strategy systems and data flows, improve the monitoring of the portfolio with dashboards and embed AI and automation into day‑to‑day workflows. The two consultants will split focus across the areas below while collaborating closely.

Key Accountabilities

Strategy Systems & Transformation

• Assist in ensuring allocations are reported and flowing correctly
• Review, update, and expand pipeline and allocation dashboards; develop additional smart dashboards (e.g. Group view, strategy monitoring) for executives and investment teams
• Develop and support integration of new systems (e.g. DealCloud to Efront, Aladin and MSCI) and support enhancements of existing systems

AI Integration, Analytics and Automation

• Identify and prioritize AI/automation opportunities across strategy workflows and processes (e.g. portfolio construct, pipeline, allocation and portfolio monitoring and reporting)
• Optimize, automate, and document existing quantitative frameworks portfolio construction, and performance analytics to enhance consistency, efficiency, and scalability
• Build and deploy AI agents to support delivery of core research and investment strategy activities and generate greater insights
• Design, build, and maintain robust analytical models and code libraries (primarily in Python) to support investment research, portfolio management, and strategic analysis
• Build and maintain back‑testing and simulation frameworks to evaluate strategies, risk exposures, and investment scenarios under varying market conditions
• Collaborate with data vendors and internal stakeholders to source and structure alternative or proprietary datasets

Most importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.

What will you bring:

• 5–10 years in business/portfolio analytics, AI adoption and system integration, supporting investment managers or asset management institutions, or top‑tier consulting/technology roles
• Solid understanding of private markets and investment life cycle across public and private asset classes
• Demonstrated experience with systems (e.g. eFront, BlackRock Aladdin) and data providers in private/public markets (e.g. Preqin, Bloomberg, S&Ps etc…)
• Solid understanding of financial modeling concepts (valuation, IRR, performance attribution, risk models) and illiquid asset data structures
• Proficiency in Python (preferred), including data manipulation, statistical modeling, and visualization libraries (e.g., pandas, NumPy, scikit‑learn, Plotly, Dash)
• BI expertise (e.g. Power BI, Tableau)
• Experience building or maintaining quantitative tools, APIs, or system integrations across financial platforms
• Knowledge of databases (SQL) and ETL / data integration frameworks
• Proven ability to manage complex data projects, document processes, and communicate technical insights to non‑technical stakeholders

Preferred Attributes

• Experience working in or with sovereign wealth funds, asset managers, or institutional investors
• Knowledge of portfolio theory, asset allocation and private equity
• Ability to work cross‑functionally with strategy, investment, and technology teams
• Passion for innovation and continuous improvement in investment processes
• Familiarity with AI/ML applications in