Quantitative Portfolio Manager

Algoquant LTD; City Of London; Remote; GBP 80,000 - 100,000; Full time

Job summary

A pioneering crypto asset manager is seeking experienced Portfolio Managers to develop and execute systematic trading strategies. The role offers remote work flexibility and significant trading capital access. Candidates should have a strong track record in trading and expertise in quantitative research, risk management, and Python. Join a collaborative environment and lead your own trading strategy leveraging institutional resources.

Benefits

Access to significant trading capital

Cutting-edge infrastructure

Performance-driven compensation

Qualifications

• Minimum 1.5 years of experience in crypto or traditional finance trading.
• Expertise in statistical modeling and machine learning.
• Strong leadership skills with the ability to manage a team.

Responsibilities

• Develop, implement, and manage algorithmic trading strategies.
• Conduct independent research using big data to identify trading signals.
• Optimize strategies for efficiency in live trading environments.

Skills

Algorithm development

Quantitative research

Risk management

Python

Job description

Remote (Preferably London, New York or Dubai)

Reports to the CIO

Location: London, New York or Dubai (Fully Remote)

About AlgoQuant Asset Management

AlgoQuant Asset Management is an ambitious, high-performing, and pioneering multi-strategy crypto asset manager. For over five years, we have operated as a proprietary trading firm, making tactical allocations to both internal and external quantitative trading teams.

In 2024, Michael Ashby joined as CEO, bringing expertise from leading Point72's digital assets division across quant, venture, and macro trading. With a strengthened executive team, we are transitioning into an investment management firm, managing external capital while leveraging our technology, risk management expertise, and deep market experience.

At AlgoQuant, we believe in the power of both internal and external teams, casting a wide net for new ideas, identifying world-class talent, and diversifying our alpha sources.

Our PM group is highly experienced in selecting alpha strategies and in portfolio construction. We expect a strong understanding of risk-adjusted returns and running a variety of algorithmic trading strategies.

The Role:

AlgoQuant is seeking highly skilled and ambitious Portfolio Managers (PMs) with a proven track record of success in algorithmic trading. As a PM, you will be responsible for developing, optimizing, and executing systematic trading strategies within the crypto markets. You will have access to our institutional-grade infrastructure, deep liquidity, and significant capital allocations to maximize returns. We are open to candidates from both crypto-native and traditional finance backgrounds who demonstrate strong research and trading capabilities.

Who We Are Looking For

We consider two types of candidates for this role:

• A successful +1.5-year track record in crypto markets with demonstrable returns.
• Currently running a strong portfolio but looking for access to more capital, better infrastructure, and superior financial terms.
• A strong track record in traditional financial markets with impressive risk-adjusted returns.
• Limited or no exposure to crypto markets but seeking a transition into the space.
• We will consider high performing sub-PM's working on a successful trading desk, looking to take the lead with independent research and portfolio construction.

Key Responsibilities

• Develop, implement, and manage high-performing algorithmic trading strategies.
• Conduct independent research using big data and market microstructure data to seek alpha and identify trading signals.
• Optimize strategies for execution, scalability, and efficiency in live trading environments.
• Manage portfolio risk, ensuring robust risk-adjusted returns and adherence to AlgoQuant's risk management framework.
• Work collaboratively with internal teams to leverage proprietary data, trading infrastructure, and execution capabilities.
• Determine the structure of your team and work with the Chief People Officer to build a high-performing quant research team if additional support is needed.
• Stay at the forefront of market developments, leveraging new technologies, data sources, and analytical techniques to maintain competitive advantage.

Key Qualifications

• A minimum of 1.5+ years of successful track record in crypto or traditional finance trading, with strong annual P&L contributions.
• Strong quantitative research background with expertise in statistical modeling, machine learning, and market microstructure.
• Proficiency in Python for research and strategy development, with experience handling large datasets.
• Deep understanding of risk management, portfolio construction, and optimization techniques.
• Ability to work autonomously while also collaborating with AlgoQuant's broader research, trading, and technology teams.
• Strong leadership skills with the ability to mentor and manage a team if required.

What We Offer

• Access to significant trading capital to scale your strategies.
• Cutting-edge infrastructure, including research platforms, execution algorithms, and deep liquidity access.
• Competitive financial terms and a performance-driven compensation structure.
• A collaborative, high-caliber environment with top-tier talent in quantitative finance and crypto markets.
• The opportunity to lead your own trading strategy while leveraging AlgoQuant's institutional framework.