Quant Researcher

Sobre esta vaga

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

Originally posted on Himalayas