Quant Trader/Researcher

Job Profile:

Quantitative Researchers/Traders are part of the core team working directly in the Algorithmic development team for research and development of the Quant Strategies. The goal is to develop a diversified set of scalable automated trading strategies that deliver consistent alpha.

Responsibilities:

• Building models - understanding relationships between securities

• Researching automated trading strategies using a range of historical data, price and volume inputs

• Researching portfolio construction and risk allocation techniques

• Back-testing ideas using historical tick-by-tick data

• Evaluating strategy performance, making improvements and scaling up successful strategies

Skills Needed:

An ideal candidate will have the following skillset:

• Top performer with a computer/electrical engineering degree from a top-tier institution

• Strong programming ability in C++/Python

• Prior experience in automated trading strategy development with a top HFT firm / hedge fund preferred

• Hard working with an attention to detail and ability to work independently

• Good understanding of financial markets, statistics and modeling techniques using ML is desirable

• Self motivated and hard working

What we offer:

• Robust and efficient trading infrastructure for development of multi frequency trading strategies (low, medium and high frequency trading)

• Access to multiple markets and asset classes across the globe

• Opportunity to grow and have a good career development path

• Competitive compensation and transparent business terms

• Guidance to learn, develop and improve on Market dynamics and strategies

• Opportunity to work and learn from various Senior executives in the firm