Quantatitive Investment Strategist

Our client is seeking a Quantitative Investment Strategist to support the portfolio manager, chief investment officer, and the team.

ROLE OVERVIEW

As a Quant Strategist, you will lead the data science and quant strategy initiatives of the firm. You will build and implement quantitative tools and strategies that support various aspects of our investment process, including idea generation, portfolio construction, risk management, portfolio maintenance, and trading.

KEY RESPONSIBILITIES

Lead Data Science & Quant Strategy: Develop and implement the firm's data science and quant strategy to support investment decision-making.

Quant Tool Development: Design, build, and maintain quant models and tools for idea generation, portfolio construction, risk management, portfolio maintenance, and trading.

Collaboration with Research Team:

• Work closely with the investment team to integrate quant methods and tools into the investment process.
• Assist investment teams in understanding the key data drivers of companies and sectors in regional and global markets.
• Deliver high-quality, digestible research to investment teams.

Collaboration with CIO and PMs

• Work with the CIO / PMs and identify areas where additional data is required to improve quality of outcomes for the investment strategy.
• Provide decision support tools and significant ideas using existing and new data sets.
• Test complex investment theses and conduct scenario analysis.

Innovation & Strategic Planning:

• Stay up-to-date with the latest advancements in machine learning, data science, and quantitative finance, and apply them to improve investment strategies.
• Contribute to the strategic planning of tech and quant initiatives within the firm.

REQUIRED SKILLS AND QUALIFICATIONS

Technical Skills: Proficient with Python, SQL, AI / ML frameworks, NLP concepts and techniques, advanced statistical modelling, experience working with large datasets (structured and unstructured). Proficiency in Excel, CapitalIQ.

Education: Bachelor's degree in computer science / engineering / statistics / applied maths, or related subjects with exposure to financial markets. CFA qualification is a plus.

Experience: 3-7 years of overall working experience.Experience in the buy-side or sell-side is preferred. Basic understanding of investment process.

Soft Skills: Intellectual curiosity with a genuine interest in investing / capital markets, communication skills, problem solving abilities, self-reliant.

For consideration, please send your CV to [Confidential Information].