Research Scientist/Research Engineer | Deep Learning
Jumptrading · Chicago, New York, London
Skills in this posting
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The posting
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique.
Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns.
We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.
What You’ll Do
We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure.
Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.
Skills You’ll Need
5+ years of experience in developing DL systems with measurable impact in industry and/or academia
Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
Proficiency in Python and/or C++
Strong foundation in mathematics and statistics
Ability to thrive in a collaborative, team-oriented environment
PhD, or Master's degree in Computer Science, Mathematics, (or related subject)
Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
Reliable and predictable availability
Excellent written and verbal communication skills in English
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
$200,000 — $350,000 USD
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The PivotHop read
- What a research scientist actually earnsmedian, seniority, by country
- Careers a research scientist can move intoevery measured route out
- Data Scientist → Research Scientist54% readiness
- All open research scientist rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a research scientist’s profile already covers.
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