VP - Quantitative Research: Global Liquidity & Execution

Growth Equity Interview Guide

Singapore

Sur place

SGD 200 000 - 320 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Flexible work arrangements

Résumé du poste

GIC is seeking a VP of Quantitative Research to advance liquidity modeling and execution performance across multi-asset classes in Singapore. You will collaborate with traders and PMs to enhance decision-making and execution outcomes, operating within a dynamic, globally impactful environment.

The role emphasizes cross-asset research integration, data-driven insights, and scalability of analytics platforms, with flexible work arrangements to balance life and work.

Qualifications

  • Experience in quantitative research or markets roles.
  • Deep knowledge in at least one asset class like equities, FX, or credit.
  • Expertise in liquidity and market impact modeling.
  • Understanding of execution performance measurement and transaction cost analysis.
  • Familiarity with market and transaction data, including high-granularity data.
  • Strong coding skills in Python and SQL.

Responsabilités

  • Enhance liquidity and capacity modeling capabilities.
  • Refine execution performance measurement and attribution methods.
  • Connect research efforts across different asset classes.
  • Guide the development of execution analytics platforms.
  • Review and improve research quality within the team.

Connaissances

Quantitative research
Markets experience
Asset class knowledge
Liquidity modeling
Execution performance measurement
Transaction cost analysis
Market data
Python
SQL

Outils

Python
SQL

Description du poste

GIC is seeking a VP of Quantitative Research to advance liquidity modeling and execution performance across multi-asset classes in Singapore. You will collaborate with traders and PMs to enhance decision-making and execution outcomes, operating within a dynamic, globally impactful environment.

The role emphasizes cross-asset research integration, data-driven insights, and scalability of analytics platforms, with flexible work arrangements to balance life and work.

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