Quantitative Strategy Lead

Roles & Responsibilities

• As a team lead, you will oversee a team of quantitative professionals, driving research and analysis on a diverse range of external fund managers and investment strategies in delivering high-impact insights and tools that strengthen and inform the investment decision-making process.
• To develop the team's expertise in leveraging data, quantitative techniques, and AI/ML methodologies to deliver comprehensive, data-driven insights and evidence-based recommendations.
• To enhance and innovate across various stages of the investment process by applying quantitative and AI/ML tools, thereby expanding our capabilities in scale, depth, and performance. Additionally, you will contribute to the broader organization by sharing analytical tools and data-driven insights, fostering collective domain expertise.

Responsibilities:

• Serve as a strategic thought partner to department and investment leaders, leveraging data, quantitative techniques, and AI/ML methods to enhance investment processes, shape the department's analytical capabilities, and conduct research focused on capital allocations, portfolio construction, optimization, and risk management.
• Lead and manage quantitative research and analysis across the entire investment process, from manager screening and selection to strategy due diligence and portfolio construction, ensuring high research quality and timely delivery.
• Oversee and govern the implementation of models, analysis, and tools to ensure alignment with best practices and team-wide infrastructure, while managing the team's model and analytics operations.
• Facilitate the sharing and cross-pollination of quantitative applications, analysis, and tools across departments, while providing macro-level insights to the team.

Qualifications:

• Master's or Doctoral degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Economics.
• 8-12 years of relevant experience in quantitative research and analysis, with a strong emphasis on applying quantitative methods and AI/ML techniques in capital allocation, portfolio construction, optimization, and sk management.
• • Experience in a fund allocator environment is highly desirable, along with a solid understanding of macroeconomic trends, credit and equity investing, and capital markets, complemented by exceptional communication skills to effectively understand, influence, and secure buy-in from stakeholders.
• Proficiency in programming languages such as R or Python, along with SQL.

This is in partnership with the Employment and Employability Institute Pte Ltd ("e2i").

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Technologies (S) Pte Ltd's PDPA and e2i's PDPA.

For more information, please visit to and search for Job Reference: QXX859VR

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Tang Lee Ling | Registration No: R

Tell employers what skills you have
Investment Strategies
Quantitative Research
Quantitative Investing
Quantitative Analytics
investment strategy
Capital Markets
Python
Financial Modelling
Equity portfolio
investment portfolio
Statistics
Quantitative Modeling

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