Python Quant Developer Engineer

technology / hybrid / full time
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About us:

Universis Capital Partner is an alternative investment fund with a management capacity of up to USD 500 million, carried out in phases of USD 100 million.

We manage financial assets with the best resources in analytics and management, adapted to both traditional and digital assets, based on cryptocurrency infrastructure and blockchain technologies.

We provide liquidity in markets and assets, trading, market maker, project finance, venture capital, early stage tokens and liquid tokens, with a total of 12 management lines divided into 3 groups.

We build strategic alliances with major partners (Funds, Labs, Venture, Market Maker) globally, which strengthen joint institutional management and streamline our contribution of liquidity in trading and top-tier projects. We work with sophisticated traders, token issuers, funds, professional investors, regulated trusts and major exchanges worldwide.

Our growing team is formed by the best senior professionals in each specialty, with more than 9 years of experience in commercial management, algorithmic development, financing and investment in projects. We generate close relationships with the promoters of the projects in which we participate, providing investment and liquidity in key stages; Seed and Series A.

Who are we looking for:

Python Quant Developer Engineer

We are looking for a developer engineer with deep knowledge in Python (Expert Level), for various functions related to the creation of quantum algorithmic systems, interested in working on the creation of high performance systems and system architecture.

The candidate must have a passion for technology and code creation. Attention to detail and an analytical mind are essential qualities for a successful application. Design and build superior and innovative software by writing clean and flawless code.

The objective is to work directly with our team of traders, engineers, analysts and data scientists to develop our trading algorithmic infrastructure, including; developing and creating trading algorithms, developing tick-by-tick backtesting systems for strategy testing and prototyping, bringing new functionality.

The ideal candidate would be passionate about algorithmic and crypto trading, specialized in building low level systems. With knowledge in algorithmic trading based on Data Mining, Big data, Quants, Machine Learning, with predictive and risk management capabilities to implement high frequency and low latency systems, HFT, Market Making, arbitrage systems.

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Policy against discrimination:

At Universis Capital we promote equal employment opportunities. We pride ourselves on being a mutli-cultural team. We do not discriminate against anyone on the basis of race, color, gender, age, origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability. We treat our colleagues and candidates fairly. We follow all related laws and in our employment decisions (such as recruiting, hiring, training, salary and promotion).

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