About us:
XBTO is a leading institutional provider for digital assets. In 2015, XBTO was first to provide institutional-grade liquidity to major trading platforms. Since then, we have made significant efforts to create stability in the cryptocurrency markets.
XBTO offers a comprehensive regulated platform for digital assets and tailored investment solutions catered to sophisticated non-US investors and institutions. Our offering spans Asset Management, Trading, Custody, and Market Making.
With over nine years of experience in digital assets and more than twenty years in traditional finance, we offer expert insights and solutions to navigate the relatively new and dynamic field of digital assets. We combine deep technical and trading expertise with established industry-wide relationships to provide sophisticated solutions for our counterparties.
Description:
Research, develop, back-test, and implement short and medium-term quantitative trading signals
applied to crypto assets. Portfolio construction based on multiple signals. Contribute to a
quantitative pipeline that allows for fast strategy test iteration and insight generation. Organize
and present models and results to team. Manage team of quant interns.
Responsibilities:
• Research, develop, back-test, and implement short and medium-term quantitative trading signals applied to the crypto
• Robust portfolio construction based on multiple signals
• Identify new trading opportunities by using statistical methods and analyzing large data set
• Contribute to improve a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and insight generation
• Organize and present models and results to team
• Manage our partnership with Stonybrook University entailing a team of 2-4 interns
Qualifications:
• 4-8 years’ experience in a Quant role
• Extremely passionate about trading and markets
• Experience or strong interest in crypto markets
• Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics
• Strong experience developing statistical models in a trading environment
• Deep understanding of optimization theory
• Excellent programming skills in Python and understanding of Git
• Curious and open-minded disposition with high attention to detail, and ability to organize and prioritize tasks
• Strong communication and inter-personal skills, and a high-level of professionalism
• Desire to work within a collaborative, team-driven environment
Working at XBTO:
The dynamic team at XBTO is made up of some of the best talents in digital assets, traditional finance and technology. We work in a collegiate environment with relentless focus on our mission and team. We’re looking for individuals who share the same values and principles such as:
- Entrepreneurial spirit:Takes ownership showcasing a high-degree of drive, perseverance and accountability to achieve our goals.
- Trust & integrity:Exemplifies the highest ethical and professional standards to serve our clients
- Collaboration & care:Genuinely cares about other team members and champions working as one team
- Humility & candor:Showcases openness to the diverse ideas and perspectives of co-workers and seeks to receive and give constructive feedback.
- Innovation & knowledge: Stays abreast of the dynamic industry, pursues opportunities to anticipate the evolving needs of our clients.
- Risk and compliance mindset:Demonstrates a commitment to compliance and appropriate sensitivity to risk and control related issues.
Our hiring process:
In compliance with applicable law, all persons hired will be required to verify their identity and eligibility to work and to complete employment eligibility verification and background checks.
XBTO is an equal opportunity employer. We seek a diverse applicant pool and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law.
