Market Strategist

CP Global Fintech Solutions Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

A leading company in the financial sector is seeking a Market Strategist with a strong analytical background and expertise in developing trading strategies. The role involves analyzing market trends and macroeconomic factors while leveraging Python to optimize trading decisions. The ideal candidate will possess at least 3-5 years of experience in finance or economics, with excellent communication skills and a proven ability to present market insights effectively.

Benefits

Access to advanced data tools and market research platforms

Competitive compensation and performance-based incentives

Professional growth opportunities

Qualifications

• Minimum 3-5 years of experience in developing trading strategies.
• Strong understanding of macroeconomic principles and financial market dynamics.
• Proficiency in data manipulation and analysis using Python.

Responsibilities

• Develop and refine trading strategies based on market behavior and economic trends.
• Conduct in-depth macroeconomic analysis and monitor financial markets.
• Translate research insights into actionable market views and trading ideas.

Skills

Analytical skills

Macroeconomic analysis

Data-driven research

Financial strategy development

Research skills

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in Finance, Economics, or a related quantitative field

Tools

Python

Job description

We are seeking a Market Strategist with strong analytical capabilities and a deep understanding of financial markets to join our strategy team. This role is ideal for someone who thrives at the intersection of macroeconomic analysis, data-driven research, and financial strategy development.

The successful candidate will be responsible for developing and optimizing trading strategies based on comprehensive market analysis. A background in finance or economics, proven experience in strategy creation, and proficiency in Python programming are essential to succeed in this role.

Key Responsibilities:

Develop and refine trading strategies based on market behavior, economic trends, and technical/fundamental indicators

Conduct in-depth analysis of macroeconomic developments, monetary policy, and geopolitical events to assess their impact on global markets

Translate research insights into actionable market views and trading ideas

Leverage Python to build research tools, perform data analysis, backtest strategies, and support decision-making processes

Continuously monitor financial markets across asset classes to identify emerging opportunities and risks

Prepare regular reports, market commentaries, and presentations to communicate findings and strategies to internal stakeholders

Collaborate with quants, portfolio managers, and risk analysts to align strategies with business goals and risk parameters

Required Qualifications:

Bachelor’s or Master’s degree in Finance, Economics, or a related quantitative field

Minimum 3-5 or above years of experience in developing trading strategies, preferably within an investment firm, hedge fund, or trading desk

Strong understanding of macroeconomic principles, financial market dynamics, and asset class behavior

Proficiency in Python for data manipulation, analysis, and modeling

Excellent research, problem-solving, and critical thinking skills

Ability to synthesize complex data into clear, concise insights and recommendations

Strong communication skills, with the ability to present market ideas effectively to both technical and non-technical audiences

Nice to Have:

Experience working with data platforms like Bloomberg, Refinitiv, or macroeconomic databases

Familiarity with time-series analysis, risk modeling, or systematic trading techniques

Exposure to multiple asset classes (e.g., equities, fixed income, FX, commodities)

Interest or experience in crypto or digital asset markets

What We Offer:

A strategic, high-impact role in a dynamic and collaborative team environment

Access to advanced data tools, market research platforms, and institutional-grade infrastructure

Opportunity to directly influence trading outcomes and portfolio strategies

Competitive compensation, performance-based incentives, and professional growth opportunities

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