Quant Sciences - Trading Intern (Rolling/Please read JD)

How to be considered

We are hiring our first members of the Quantitative Trading and Sciences team.

While applying, clearly specify your trading and investing experience [50% weightage - main criteria]
Also, specify your Python, ML and any relevant work experience or projects [30% weightage ]
Team fit [20% weightage]

Do not write generic replies that you copy paste to all companies. Generic applications WILL NOT be considered.

This position is a rolling position - that means that we're not actively hiring for the role, but if we find a good fit, we will hire the candidate. The position is an IC [Individual Contributor] role but has opportunity to collaborate with other teams.

You are

• A self-starter who is fueled by a desire to improve customer experiences in the moments that matter most, approaching your work with a bias toward accountability, decision-making and action
• Inquisitive and creative, with an ability to listen to identify customer needs and dig deeper to understand the reasons behind those needs
• Able to transform conceptual thinking into deliverables that generate excitement, feedback and alignment among stakeholders
• Thrive in a collaborative environment, partnering across the company with business experts, software developers, data engineers, and marketers

You have

• Enthusiasm to take the initiative to tackle problems and work with others to expand on your experience and expertise
• Working knowledge of agile development practices and system design experience
• Experience with Python, Django, AWS and databases such as Postgres
• Interest in trading in markets such as Equities, Derivatives, Forex and Crypto
• Build efficient and reusable backend abstractions and systems
• Experience in statistical analysis and interest in Machine Learning and AI

You will

Work closely with and learn from a team of engineers to contribute to a build a variety of features and infra.

Must-Have skills

• Python or R experience
• Statistical or Trading experience

Qualification and Experience:

• 0-2 Years software engineering
• Education: BE/BTech or equivalent (in lieu of academics, equivalent software developer experience required)