Quantitative Researcher

MERIDIAN & SATURN CAPITAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

MS Capital is expanding its team and seeks experienced candidates with strong backgrounds in programming, statistics modelling, and data analysis to develop international market trading strategies. You will leverage Python/C++ and data tools to build and test quantitative models, iterating with market data and events.

Ideal candidates have a degree in finance, mathematics, statistics, physics, CS, or engineering, plus demonstrated experience in quantitative research, internships, or personal

Qualifications

• Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field.
• Familiar with Python / C++ or other high-level programing languages.
• Strong communication skills and learning ability.
• Experience in quantitative research, through industry internships, academic, or personal projects.

Responsibilities

• Research and develop international market, secondary market trading and investment strategies
• Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
• Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Skills

Python

C++

Communication

Data analysis

Education

Bachelor's degree or above in finance, mathematics/statistics, physics, computer science, engineering or related field

Tools

Kaggle

Big data tools

AI/ML techniques

Job description

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities:

• Research and develop international market, secondary market trading and investment strategies
• Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
• Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Qualifications

• Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field
• Familiar with Python / C++ or other high-level programing languages
• Strong communication skills and learning ability.
• Experience in quantitative research, through industry internships, academic, or personal projects.

Plus Points:

• Experienced in using big data to predict and test statistical market models
• Experienced in AI / ML research for quantitative analysis
• Experienced in competitions such as Kaggle, ILSVRC, and other internationally recognised competitions including IMO, IOI, IPhO, etc.