Quant Sciences - Trading Intern (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)