Job summary
Job post source
This job is directly from Jump Trading Group
Job overview
The Deep Learning Researcher role at Jump Trading Group focuses on applying advanced deep learning techniques to develop predictive trading models that impact global financial markets.
Responsibilities and impact
The researcher will implement open-ended deep learning projects from concept to production, improve model design, tools, and infrastructure, and contribute to quantitative research and monetization processes.
Compensation and benefits
The position offers an annual base salary range of $200,000 to $350,000, discretionary bonuses, comprehensive medical, dental, and vision insurance, retirement plans with employer match, paid vacation and holidays, parental leave, and wellness programs.
Experience and skills
Candidates need 5+ years of deep learning system development experience, proficiency in Python and/or C++, a strong foundation in mathematics and statistics, a PhD or Master's in a related field, and a strong publication record in top ML conferences.
Work environment and culture
Jump Trading Group values fearlessness, creativity, intellectual honesty, collaboration, and mutual respect in a competitive and innovative environment.
Company information
Jump Trading Group is a leading quantitative trading firm that applies cutting-edge research in mathematics, physics, and computer science to global financial markets and partners with research organizations and universities.
Team overview
The role is part of the quantitative trading teams that analyze global markets and develop profitable predictive models using statistical analysis and machine learning.
Unique job features
The job offers the opportunity to work on state-of-the-art deep learning projects that directly influence financial trading strategies and involves collaboration in a research-driven environment.
Company overview
Jump Trading Group is a renowned proprietary trading firm that specializes in algorithmic and high-frequency trading across global financial markets. Founded in 1999, the company leverages cutting-edge technology and quantitative research to execute trades and generate revenue. Jump Trading operates with a focus on innovation, employing a team of skilled engineers, researchers, and traders to develop sophisticated trading strategies. The firm is known for its significant investment in technology infrastructure, allowing it to maintain a competitive edge in the fast-paced trading environment. With a strong emphasis on collaboration and continuous improvement, Jump Trading Group has established itself as a leader in the financial trading industry.
How to land this job
Position your resume to highlight your deep learning expertise, focusing on your 5+ years of experience developing impactful DL systems and your proficiency in Python and/or C++ as emphasized by Jump Trading Group.
Emphasize your strong foundation in mathematics, statistics, and your record of publications in top-tier conferences like ICML, ICLR, NeurIPS, or AAAI to align with their research-driven culture and high standards.
Apply through multiple channels including Jump Trading Group's official corporate careers page and LinkedIn to maximize your chances of being noticed by their recruiting team.
Connect with current researchers or team members in the quantitative trading or research divisions at Jump Trading Group on LinkedIn; ice breakers could include complimenting their recent published work or asking about their experience working on deep learning projects in trading environments.
Optimize your resume for ATS by incorporating keywords from the job description such as 'deep learning,' 'quantitative research,' 'Python,' 'C++,' 'machine learning,' 'statistical analysis,' and names of relevant conferences to ensure your resume passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, find all available application portals, and identify relevant LinkedIn contacts for networking, allowing you to focus your energy on preparing for interviews and refining your skills.
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