Senior Quantitative Researcher

ALPHAGREP PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading Algorithmic Trading firm in Singapore is seeking a Quantitative Researcher to develop profitable trading strategies and analyze market performance. Ideal candidates possess a master’s or PhD in a quantitative field and strong programming skills in Java, C/C++, or Python. Enjoy a relaxed environment and generous bonuses for profitable innovations.

Benefits

Gym membership

Generous vacation package

Health and wellness programs

Qualifications

• Proven ability to develop new, profitable Quant trading strategies.
• Experience with live strategies demonstrating good sharpe ratios.
• Solid understanding of market trends and dynamics.

Responsibilities

• Develop and refine strategies applicable to financial markets.
• Apply tick-level data analysis and trading experimentation.

Skills

Quantitative trading strategies

Market dynamics understanding

High-Performance Computing

Machine Learning

Programming in Java, C/C++, Python

Problem-solving skills

Education

Masters or PhD in Statistics, Physics, Mathematics, Computer Sciences

Job description

Overview

AlphaGrep are a globally renown Algorithmic Trading firm, trading across a wide range of asset classes globally. We cover the global markets by leveraging and integrating technology, risk management and quantitative research. Being a proprietary trading business, we trade our own accounts and have no investors, clients or customers.

Responsibilities

As a Quantitative Researcher you will have expertise in writing production-quality, high reliability, highly-tuned numerical code; applying tick-level data analysis and real-world trading experimentation to define strategy decision-making. You would also consider yourself proficient in trading technology but also play a pivotal role in the driving forces behind liquidity and the evolution of market microstructure.

You will join a world class team in our Singapore office and help to develop and refine such strategies applicable to the financial markets and analyze their performance. You will have displayed proven success in implementing profitable trading strategies in a team-driven environment.

This role demands passion, innovation, a high attention to detail, and unwavering persistence in the pursuit of the next profit-generating idea. Individual effort is greatly appreciated, and subsequent profitability translates into generous bonuses

Key skills and requirements

• A proven ability to develop new, profitable Quant trading strategies
• Advance existing research initiatives and explore new avenues for quantitative research and trading
• Solid understanding of relevant market trends and developments, with a robust working knowledge of market dynamics of their chosen regions/coverage.
• Live strategies with good sharpe ratios
• Sizable exposure to Machine Learning, Neural Network, High-Performance Computing and/or Natural Language Processing concepts and technologies are a plus
• Ideally a Masters or PhD in Statistics, Physics, Mathematics, Computer Sciences or similar quantitative disciplines from top schools
• Experience in programming using Java, C/C++, and/or Python.
• Exceptional quantitative as well as programming skills.
• Motivation and resourcefulness in quickly solving hard problems through the creative application of technology.

Why You Should Join Us?

• Great People.We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals.
• Transparent Structure.Our employees know that we value their ideas and contributions.
• Relaxed Environment.We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs.We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees.
• Interested candidates can send their detailed resumes/CVs. Only shortlisted applicants will be notified for further discussions.