Contract
Min 6 Years
Job Description
Works at the intersection of quantitative research, trading, and technology. This role is a commercially-oriented quant who provides analytical support to traders and portfolio managers. You will be responsible for developing and implementing quantitative tools and strategies that directly enhance a firms profitability and risk management capabilities.
Key Responsibilities
- Quantitative Analytics: Provide analytical support on the risk, return, and transaction costs of investment portfolios and trading strategies.
- Model Implementation: Work with traders and developers to design and implement new quantitative models and analytical tools. This often involves building prototypes and proof-of-concept tools.
- Research & Analysis: Research alpha on horizons spanning microseconds to days, and analyze large datasets using advanced statistical techniques to identify trading opportunities.
- Performance Attribution: Track, analyze, and attribute strategy enhancements and performance to provide insights for continuous improvement.
- Client Interaction (in some roles): In client-facing roles, you will explain complex quantitative concepts to clients and assist with client requests such as back-testing and portfolio analysis.
- Tool Development: Enhance the functionality of existing technology platforms and create new solutions to fill technological gaps within the investment process.
Requirements
- Advanced degree in a quantitative field (e.g., Mathematics, Financial Engineering, Computer Science).
- Strong programming skills in Python and/or C++.
- Demonstrated experience in quantitative analysis, financial modeling, or a related field.
- Excellent understanding of financial markets, instruments, and trading strategies.
- Strong communication and interpersonal skills to collaborate effectively with both technical and non-technical stakeholders.
- Ability to think analytically and propose innovative solutions to daily trading challenges.
Skills
- Core Technical Skills:
- Programming Languages: Python and C++ are the most common. Python is used for rapid prototyping and data analysis, while C++ is often used for production-level tools and systems.
- Financial Modeling: Expertise in building and implementing quantitative models for various financial instruments and strategies.
- Data Analysis: Strong skills in using statistical software and libraries to analyze and interpret large datasets.
- Domain-Specific Knowledge:
- Financial Markets: A comprehensive understanding of financial markets, different asset classes, and various trading strategies is required.
- Risk Management: Knowledge of risk concepts and the ability to integrate risk controls into trading strategies.
- Soft Skills:
- Communication: Excellent communication skills are vital for bridging the gap between technical teams and traders.
- Business Acumen: The ability to understand the commercial implications of quantitative models and strategies.
Experience
Min 6 Years
Preferred
Local / Resident / Eligible to work
Location
Singapore
Mode of Work
On Site
Keywords
Quantitative Strategist, Quant Strat Quantitative Analyst,Desk Quant