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Software Engineer

Keywords / Skills : C++; Python; Software Engineer

0 - 5 years
Posted: 2019-06-24

Job Description
Presto Labs is a fast-growing quantitative trading firm established in 2014. We develop automated trading strategies and the related systems to trade traditional financial products as well as cryptocurrency assets. Presto Labs focuses on statistical analysis and the automation of investment decisions to minimize human bias in fast-changing financial world.

Our team is looking for a software engineer who will develop and improve the automated trading system. To generate trading signals, our quantitative trading strategies constantly analyze various financial data ranging from the low-level market microstructure data to macroeconomic news. The automated trading system accurately executes our trades in a low-latency environment.


[Responsibilities]

- Develop and maintain in-house automated trading system.

- Work on large-scale data analysis.

- Build and optimize tools to process financial data for quantitative research. 

[Qualifications]

Minimum qualifications:

- Bachelor's degree or higher in Computer Science or other equivalent practical experience.

- Strong programming skills in C++ and Python.

- Experience in Unix/Linux environments.

Preferred qualifications:

- Experience in quantitative analysis and algorithms.

- Experience in a low-latency programming and network setup.

- 3 years of experience working with a programming language such as: C/C++ or Python.

[Work conditions]

- Location: Tanjong Pagar area, Singapore.

- Highly competitive salary.

- Group Medical & Dental Insurance for all employees and their dependents.

- Meal allowance during working hours.

- Employment Pass support.



About Company

Presto Labs is a fast-growing quantitative trading firm established in 2014. We develop automated trading strategies and the related systems to trade traditional financial products as well as cryptocurrency assets. Presto Labs focuses on statistical analysis and the automation of investment decisions to minimize human bias in fast-changing financial world.


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