VP - Analytics

Michael Page; Dubai; On-site; AED 420,000 - 700,000; Full time

Benefits offered by this job

Competitive package

Long-term career growth

Job summary

Michael Page is recruiting for a senior quantitative analytics leader for a premier institutional investment client in Dubai. The role focuses on leading liquidity and return modelling across public and private markets.

You will own a proprietary framework, develop analytics apps in Python and SQL, design data architecture, ETL and system integrations, and deliver reporting for senior governance. You will manage external developers and uphold engineering standards.

Qualifications

• 8–10+ years' experience in institutional investment or related fields.
• Proven track record building/maintaining quantitative liquidity and return models.
• Advanced Python and SQL coding skills with production experience.
• Strong knowledge of data architecture, ETL and Snowflake environments.
• Experience leading technical resources and engaging with senior stakeholders.

Responsibilities

• Own and enhance a proprietary liquidity and return modelling framework.
• Lead development of institutional analytics apps in Python and SQL.
• Design enterprise data architecture, ETL processes and system integrations across platforms.
• Deliver scalable analytics and reporting for senior leadership and governing committees.
• Manage external development resources and establish governance and best practices.

Skills

Python

SQL

Data architecture

ETL

Leadership

Portfolio analytics

Tools

Snowflake

ETL frameworks

Job description

Job Description:

• Lead quantitative analytics across public & private markets


• Own a proprietary liquidity & return modelling platform

About Our Client

Our client is a leading institutional investment organisation.

Job Description

• Own and enhance a proprietary liquidity and return modelling framework covering both public and private market investments.


• Lead the development of institutional-grade analytical applications built in Python and SQL, supporting portfolio management and balance sheet modelling activities.


• Design and oversee enterprise data architecture, ETL processes and system integrations across investment, performance and accounting platforms.


• Deliver scalable analytics and reporting solutions used by senior leadership and governing committees for investment decision-making.


• Manage external development resources whilst establishing engineering standards, development governance and technical best practice.

The Successful Applicant

• 8-10+ years' experience within a sovereign wealth fund, pension fund, endowment, insurance asset manager, secondaries investor or institutional investment platform.


• Demonstrated experience developing or maintaining quantitative models for liquidity forecasting, portfolio cash flows, commitment pacing, return forecasting or asset allocation across public and private markets.


• Advanced hands-on programming experience in Python and SQL, with the ability to independently analyse, debug and enhance production code.


• Strong knowledge of investment data architecture, database technologies, ETL frameworks and Snowflake environments.


• Previous experience leading technical resources and working directly with investment professionals, portfolio analytics teams and senior stakeholders.

What's on Offer

• Opportunity to work on complex public and private market portfolios within a sophisticated institutional investment environment.


• Competitive package and long-term career growth within a high-performing investment team.

Contact: Manpreet Kaur

Quote job ref: JN-082026-7081299

Requirements: