Quantitative Researcher

1 week ago

Central Region, Singapore Celestial Tech Pte Ltd Full time $40,000 - $60,000 per year

Company

Celestial Tech Pte Ltd

Designation

Quantitative Researcher

Date Listed

29 Jul 2025

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive

Part/TempIntern/TS

Job Period

Immediate Start, For At Least 3 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

Eu Tong Sen Street, Clarke Quay Central, Singapore

Address

6 Eu Tong Sen St, Singapore 059817

Map

Allowance / Remuneration

$800 - 1,500 monthly

Company Profile

Celestial Tech s a dynamic IT tech consulting firm committed to helping businesses thrive in the digital era. With a team of experienced IT professionals and technology experts, we provide strategic consulting, customized solutions, and end-to-end support that drive innovation and operational efficiency.

Our mission is to bridge the gap between business needs and cutting-edge technology. Whether you are a startup or an established enterprise, we bring the right tools, knowledge, and insights to accelerate your digital transformation.

Job Description

Responsibilities

  • Design, develop, and validate alpha-generating strategies based on historical data
  • Analyze the expected value and risk profile of trading ideas under various conditions
  • Conduct large-scale simulations to test stop/target logic, position sizing, and execution risk
  • Transform discretionary patterns or observed market behavior into rule-based strategies
  • Collaborate with data engineering and ML teams to integrate signals and optimize performance
  • Monitor live performance and iterate on strategy logic based on real-world feedback

Requirements·

  • 2–5 years of experience in a quantitative trading, research, or strategy role
  • Strong background in statistics, applied mathematics, or a related field·
  • Proficient in C++, Python (pandas, numpy); SQL or other data query languages a plus·
  • Experience working with large historical datasets (tick/intraday preferred)·
  • Familiarity with market microstructure and real-world execution dynamics·
  • Deep understanding of risk-adjusted performance metrics and strategy evaluation frameworks

This position is already closed and no longer available.  You may like to view the other latest internships here.

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