Quantitative Analyst/associate/avp/vp

1 day ago

Singapore First Plus Full time

Job Title: Quantitative Research Analyst/Associate/AVP/VP

We are seeking an experienced and motivated Quantitative Research Analyst specializing in fundamental multi-factor strategies to join our Quantamental team. This role is focused on the research, development, and enhancement of quantitative equity models rooted in fundamental data.

**Key Responsibilities**:

- Conduct rigorous research on global equity markets (China, US, Southeast Asia), leveraging academic studies, empirical analysis, market insights, and proprietary datasets to uncover new sources of alpha.
- Lead the development and monitoring of factors, with a strong emphasis on fundamental factors. Identify and validate new alpha signals through robust backtesting, ensuring their stability, interpretability, and economic intuition.
- Design and enhance multi-factor models, incorporating research insights into portfolio construction, optimization, and risk management frameworks.
- Perform risk and return attribution for portfolios, evaluating performance drivers and refining strategies to ensure resilience across different market conditions.
- Collaborate with product, sales, operations, and trading teams to ensure smooth product launch, execution, and distribution.

**Requirements**:

- A bachelor's degree or higher in a quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
- 3-5 years of hands-on experience in quantitative research within the equity market, ideally on the buy-side, with a focus on multi-factor models and fundamental equity investing. Prior exposure to China A-share is a strong plus.
- Solid understanding of financial statements, accounting metrics, and valuation frameworks; strong intuition for fundamental investing is highly preferred.
- Proficient in at least one programming language (Python, R, C++, or MATLAB), with strong data handling and backtesting skills.
- Familiarity with portfolio risk modeling tools such as Barra, and experience incorporating risk metrics into the research and optimization process.
- Self-driven, intellectually curious, and able to work in a cross-functional, bilingual (English and Mandarin) environment.

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