Design and build models for target portfolio allocations, balancing risk, return, and client-specific constraints.
Build and maintain systems that translate target allocations into real trades with tax efficiency and cost-aware execution.
Apply risk and portfolio management techniques including optimization, factor-based modeling, and statistical estimation to keep strategies robust.
We are on a mission to make financial products accessible to a broader global audience using AI and digital tools. We are a startup that values trust, teamwork, and adaptability, operating with a small, dedicated team.
Develop, execute, and manage trading strategies for digital asset derivatives, driving P&L growth while maintaining disciplined risk management.
Build and refine trading infrastructure, collaborate with engineering and quant teams, and provide market insights to stakeholders.
Must have 3-5 years of derivatives trading experience, strong quantitative and coding skills, and the ability to operate in a fast-paced environment.
Anchorage Digital is a crypto platform enabling institutions to participate in digital assets through custody, staking, trading, and security. Founded in 2017, the company has over 600 employees, is backed by leading investors like Andreessen Horowitz and Goldman Sachs, and values a collaborative and inclusive village culture.
Design, build, and manage profitable trading strategies as part of a multi-disciplinary team.
Work closely with senior traders on multiple strategies across quantitative trading space.
Take a central decision-making role in overnight trading strategies quickly.
GTS is a quantitative trading firm that leverages technology and AI to bring efficiency to financial markets. It accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker at the NYSE.
Need expertise in systematic strategies across equities, derivatives, and multi-asset with strong research hygiene.
Must combine market intuition with statistical learning to develop proprietary datasets and models.
Deliver actionable trade ideas, factor research, and cross-asset analysis with high-touch client service.
Smartkarma connects independent investment research analysts to institutional asset managers globally. Founded with support from Sequoia Capital and others, it has over 200 institutional subscribers and a community of analysts covering 4,000+ companies.
Identify and execute borrow and loan opportunities across equities, fixed income, and ETFs using manual and automated strategies.
Leverage Python and SQL to streamline tasks, develop analytical tools, and automate data-driven decisions.
Collaborate with Product, Engineering, and Operations teams to optimize data pipelines, trading systems, and risk controls.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more. The company has over 400 globally distributed employees and is backed by $400 million in funding from top-tier investors.
Develop and refine strategies for acquiring research data from scientific laboratory instruments.
Engineer and operationalize custom file parsers to handle diverse instrument output formats.
Architect and implement robust data models, scalable data pipelines, and comprehensive tests.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they work with ambitious companies in financial services, healthcare, media, and technology, fostering a remote-first, globally collaborative culture.