Quantitative Researcher - Singapore - SQUAREPOINT SERVICES SINGAPORE PTE. LTD.
Description
Job Title:
Quantitative Researcher
Role:
Fundamental Equity Analyst, APAC
**Location(s): Singapore
Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients.
As a technology and data-driven firm, we design and build our own cuttingedge systems, from high performance trading platforms to large scale data analysis and compute farms.
With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world.
Building on our quantitative research platform and process-driven approach, Squarepoint also runs discretionary strategies to take advantage of opportunities which are not suitable to be traded in a systematic strategy.
Role Overview:
Responsibilities:
- Key focus is on performing fundamental equity analysis on private and public companies in the
- Contribute towards investment recommendations initially in APAC ECM with a path to expand
- Conduct bottomup fundamental research in a Generalist capacity including market analysis,
- Create single stock models utilizing key metrics, stock drivers, and accounting principles
- Build relationships with private and public companies, and sellside partners across the region
Qualifications:
- 35 years of relevant industry experience in an equity research (buyside / sellside) or
- Bachelor's degree or equivalent experience, preferably in finance, economics, engineering
- Passion for public markets and equity research
- Solid understanding of corporate finance, accounting principles and financial statement analysis
- Strong written, communication and analytical skills with a detailed oriented mindset
- Ability to work on multiple workstreams across several teams
- Ability to build effective relationships externally and collaborate with teammates globally
- Programming knowledge in Python is preferred but not required
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