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Selini Capital

Digital assets investing and algorithmic trading

Quantitative Researcher

Quantitative ResearchConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 2–7 years of experience in quantitative research, applied machine learning, or statistics.
  • Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations.
  • Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques.
  • Ability to uncover meaningful structure in noisy, high-frequency market data, including alpha signal extraction and modeling order book behavior.
  • Ability to take research ideas from concept to experimental evaluation with minimal supervision.

Responsibilities

  • Design, test, and refine features and model architectures to improve prediction and execution performance.
  • Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a compute cluster.
  • Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements.
  • Stay up to date on advances in quantitative methods, machine learning, and optimization, and apply new insights to real-world challenges.

Desired Qualifications

  • Track record of PNL generation using model-driven strategies.
  • Outstanding academic record in a quantitative field.
  • Strong performance in competitive programming or quantitative olympiads.

About the Company

Selini Capital

Digital assets investing and algorithmic trading

Selini Capital focuses on digital assets investing and automated trading. It uses algorithmic trading to buy and sell cryptocurrencies and other digital assets based on data-driven models and predefined rules, with orders executed automatically by computer systems. The goal is to generate returns through systematic, disciplined trading while managing risk with robust controls. Compared to competitors, Selini Capital emphasizes automated, quantitative strategies specific to digital asset markets, aiming for fast, precise execution and disciplined risk management rather than discretionary trading. Overall, the firm seeks to grow client assets by applying systematic, data-driven investment and trading approaches in the digital asset space.

Company size
11-50
Company stage
Not listed
Total funding
$518.5M
Headquarters
Road Town, Virgin Islands, British
Founded
2021

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