Greenland Investment Management - Quantitative Research Analyst

Job Profile:

- Quantitative Research Analysts are part of the core front-office personal working directly with the

- Founder and CIO to deliver PNL for the firm. The goal is to develop a diversified set of scalable automated trading arbitrage strategies that deliver consistent low-risk alpha.

- Quantitative Research Analysts can have an outsized impact as any strategy they develop which is deployed in production has a minimum capacity of at least USD 100 million notional.

Responsibilities:

- Building deep fundamental understanding of arbitrage relationships between securities

- Researching automated arbitrage trading strategies using a range of historical fundamental data, price and volume inputs

- Researching portfolio construction and risk allocation techniques

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

- Implementing promising strategies into the live market in our low latency environment

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

- Responsible for the end-to-end PNL and risk management of the strategy

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 Python

- Strong understanding of SQL databases

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

- Good understanding of financial markets and statistics

- Hard working with an attention to detail

- Strong communication skills in English and ability to work independently.