Campus Quantitative Researcher, UG/MS (Full-Time)

About the role

We build predictive models from massive datasets and develop algorithms to automatically execute trades in financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as trading / market mechanics, statistics, python, C++, machine learning, and our research process.

You will then work alongside our trading teams to leverage our world-class compute environment to build predictive models and devise automated trading strategies across global markets.

Other duties as assigned or needed.

Responsibilities

• Build predictive models from massive datasets
• Develop algorithms to automatically execute trades in global financial exchanges
• Contribute as a quant researcher, data scientist, trader, or software developer based on skills and interests
• Complete a training program covering trading, programming, and quantitative research
• Work with trading teams to devise automated trading strategies

Requirements

• Sharp analytical mind from a top undergraduate or graduate program
• Uncommon drive to learn and improve
• Entrepreneurial spirit
• Strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.)
• No prior knowledge of finance or trading is necessary
• Reliable and predictable availability

We accept students eligible for CPT/OPT and sponsor work visas for full-time positions.

Qualifications

Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Operations Research, Neuroscience, Materials Science, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with continuous feedback from competitive markets, we hope you’ll apply.

Pay

The estimated base salary for this role is $300,000 per year.

Benefits

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer Paid Group Term Life and AD&D Insurance
• Voluntary Life & AD&D insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs