Quantitative Researcher

il y a 2 semaines


Luxembourg, Luxembourg Universis Capital Partner Temps plein

europe / quantitative researcher / hybrid / full time:

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:

  • Quantitative Researcher
  • Digital Assets_


We are looking for a quantitative alpha researcher, with deep knowledge in signal research and with special interest in high frequency trading, to analyze new possible strategies in a wide portfolio of cryptocurrencies based on their exchange activity and improvement of risk management systems.

The objective is to work directly with our team of traders and engineers, for the development of management systems. Localization, monitoring and execution will be part of your duties.

Responsibilities:

  • Alpha Signal localization and signal generation on a broad portfolio of cryptocurrencies and in spot, derivative and defi formats, structured products, vanilla options, exotic options.
  • Design, develop and help implement trading algorithms with predictive market making and arbitrage capabilities.
  • Risk management, monitoring and followup of execution.
  • Analysis and design of improvements in the execution of current signals.
  • Code development, advanced simulation systems and tickbytick backtesting.
  • Analyze performance management by improving risk, quantification.
  • Interact directly with the business or provide support to the commercial, development and operational teams, supervising to implement changes, technological improvements and solve incidents or problems.
  • Participate in product quality control.
  • Collaborate with other teams, including: strategy reviews, code and common programming advice.

Requirements:

  • Indepth knowledge of Alpha Signal analysis and signal generation.
  • Perfect understanding of trading, order books and digital assets and CEX and DEX blockchain technologies.
  • Academic or postgraduate quantitative training; Applied Mathematics, Statistics, Finance, Financial Engineering.
  • Basic experience in C++ or Python.
  • An analytical and problemsolving mindset.
  • Ability to work independently, but in a collaborative team environment.
  • Deep curiosity about financial trading and the blockchain digital ecosystem.
  • Entrepreneurial mindset, persistent and disciplined with a high degree of motivation and involvement.
  • High level of English, fluent oral and written communication.

Experience:

  • More than 3 years of experience as an Alpha analyst, signal generation, statistical modeling, in high frequency trading companies is essential: banking, funds, asset managers.
  • Experience in Machine Learning, Data Mining, Big data, Neural Networks, artificial intelligence, algorithms, numerical analysis or stochastic calculus is essential.
  • Experience in collaborating in the development of financial algorithms, with predictive analytics and risk control, is desirable.
  • Experience in financial product analytics: Algorithmic, High Frequency Trading, Derivatives Trading, Options trading.

Evaluation criteria:

  • Provide figures, documents, analyses or studies.
  • Trading history developed with your analytics.
  • Examples of returns, with maximum drawdown.
  • Maximum volume of capital managed (only in the case of having managed with your analytics).
  • Performance and risk management evaluation of your trading skills or strategies.
  • Have worked in companies in the financial sector, in highfrequency systems and market creation.

Main Sectors of interest:

  • All types of liquid assets, in particular: Cryto, Forex, Stock Market, Commodities, Bonds, Indexes, Options.

What we offer:

  • Type of work: Permanent + Freelance + Remote.
  • Valuation and remuneration according to performance.
  • Fixed gross salary linked to objectives, plus 2 extra annual bonuses.
  • Extra incentives based on perf

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