Quant Researcher

Vector Trading

Brasil

Presencial

BRL 200 000 - 360 000

Tempo integral

Há 5 dias
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Resumo da oferta

Vector Trading, a prop trading firm, is seeking talented quant researchers to join its expanding teams across multiple strategies and asset classes. You will analyze market data, develop data-driven trading models, and test ideas with rigorous statistical methods.

Ideal candidates have strong backgrounds in statistics, linear algebra, and programming (C++, Python, R). You will mentor juniors and work in a collaborative, high-growth environment committed to integrity and scientific curiosity.

Qualificações

  • Strong foundation in statistics and linear algebra
  • Experience with large datasets and data mining
  • Proven ability to monetize opportunities in financial markets

Responsabilidades

  • Explore trading ideas by analyzing market data using statistical theories
  • Develop data-driven trading models and test ideas end-to-end
  • Apply statistical techniques from data mining to execution
  • Design, build, and maintain a systemic data-driven testing framework
  • Improve risk management and revenue capture across strategies
  • Adhere to risk and capital usage limits
  • Coordinate daily trading activities with operations and brokers
  • Leverage data tools to identify unique market opportunities
  • Build and enhance trading libraries and analytics

Conhecimentos

Quantitative research
Statistical modeling
Data analysis
Team collaboration

Formação académica

Bachelor/Master/PhD in science

Ferramentas

C++
Python
R
Lua

Descrição da oferta de emprego

We are a prop trading firm composed of talented professionals working on multiple strategies and expanding to different asset classes and electronic exchanges around the world. We are selective about who joins our family, but if you have the technical skills and if you are looking for a chance to develop something extraordinary, then working with us is for you. Our company culture is based on scientific curiosity, integrity, personal growth, and teamwork. Inevitably, this is the secret to our success. We work to be a leader in the application of technology and statistical modeling for price discovery in the financial markets. Once a part of the team, you will learn from and work on projects that leverage your education and skill set, and you will be rewarded based on your achievements and results.

Responsibilities
  • Explore trading ideas by analyzing market data with fundamental statistical theories
  • Apply programming, quantitative and statistical skills to the research of market trends, reversions, patterns, and complete data-driven projects
  • Apply statistical techniques throughout the whole process from data mining to execution
  • Be self-sufficient designing, building, maintaining and enhancing a systemic and data-driven approach with tools necessary to test and evaluate trading algorithms and business opportunities
  • Conduct research to improve risk management, revenue capture, and market coverage and contribute to libraries of analytic tools for market data analytics and trade strategy optimization
  • Adhere to risk and capital usage limits
  • Coordinate daily trading activities with operations, trading support, brokers, among others
  • Use data analysis tools to identify and respond to unique market opportunities
  • Use cutting edge technology to build out effective trading strategies
  • Mentor, manage or train junior traders to complete projects and learn all facets of trading
Qualifications
  • 3+ years of experience, with at least 1 year in a risk-taking role
  • Bachelor, Masters or Ph.D. degree in any scientific field
  • Experience in linear algebra, statistics, and interaction with large datasets
  • Strong understanding of statistical approaches and predictive modeling techniques (including regression analysis, neural networks, genetic algorithms, SVD, etc.), their underlying assumptions, limitations, and the proper use for each methodology
  • A calculated risk-taker with demonstrated experience monetizing opportunities in financial markets
  • Comfort working within a collaborative, team-oriented fast-changing environment which fosters free-flowing creativity
  • Strong work ethic, compliance and willingness to do what it takes to get the job done
  • Excellent verbal and written communication skills
  • Strong proficiency in C++ Programming languages R, Python, Lua are a plus
  • Proven profitability track record trading across multiple strategies or asset classes is a major plus
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