Looking for a quant PM/trading lead to join an AI systematic startup fund. We are an early stage fund that has developed a quantitative model, which can model any listed asset across any time frame. We have funding lined up to build a live track record based on out of sample back tests and are looking to launch late this year/Q1 2026.
Role
Strategy Development: You'll be the primary driver in building and refining quantitative trading strategies using our AI technology. This involves backtesting, optimisation, and signal integration.
Portfolio Management: You'll be responsible for the full lifecycle of a portfolio, including position sizing, trade execution, and ongoing performance analysis. You'll need to understand how to manage risk in a systematic framework.
Risk Management: You'll design and implement risk management frameworks, including real-time monitoring of PnL, exposure, and drawdowns.
Engineering & Infrastructure: You'll lead the engineering and infrastructure side, working to connect data feeds and build out the necessary infrastructure for live trading. Experience with Python, data APIs, and cloud environments is highly desirable.
Research & Innovation: You'll stay on top of market trends and academic research to identify new opportunities for our AI to explore.
Background
Experience: You'll have 3+ years of experience as a quantitative trader, portfolio manager, or researcher at a hedge fund, prop trading firm, or similar institution.
Technical Skills: You should be proficient in Python and have hands-on experience with financial libraries (e.g., NumPy, pandas, PyTorch) and data analysis. Experience with cloud platforms (e.g., AWS, GCP) is a plus.
Analytical Mindset: You're an independent thinker who can work with complex data sets and develop rigorous, data-driven hypotheses.
Adaptability: You thrive in a fast-paced, startup environment and are comfortable with a high degree of ownership and responsibility.
Educational Background: A degree in a quantitative field such as computer science, mathematics, statistics, or physics is preferred.
Why Join Us?
This is the chance to join the founding team of a new fund, with industry leading technology provided. This is an equity only position to start, with potential for salary within the first quarter of 2026.
Role
Strategy Development: You'll be the primary driver in building and refining quantitative trading strategies using our AI technology. This involves backtesting, optimisation, and signal integration.
Portfolio Management: You'll be responsible for the full lifecycle of a portfolio, including position sizing, trade execution, and ongoing performance analysis. You'll need to understand how to manage risk in a systematic framework.
Risk Management: You'll design and implement risk management frameworks, including real-time monitoring of PnL, exposure, and drawdowns.
Engineering & Infrastructure: You'll lead the engineering and infrastructure side, working to connect data feeds and build out the necessary infrastructure for live trading. Experience with Python, data APIs, and cloud environments is highly desirable.
Research & Innovation: You'll stay on top of market trends and academic research to identify new opportunities for our AI to explore.
Background
Experience: You'll have 3+ years of experience as a quantitative trader, portfolio manager, or researcher at a hedge fund, prop trading firm, or similar institution.
Technical Skills: You should be proficient in Python and have hands-on experience with financial libraries (e.g., NumPy, pandas, PyTorch) and data analysis. Experience with cloud platforms (e.g., AWS, GCP) is a plus.
Analytical Mindset: You're an independent thinker who can work with complex data sets and develop rigorous, data-driven hypotheses.
Adaptability: You thrive in a fast-paced, startup environment and are comfortable with a high degree of ownership and responsibility.
Educational Background: A degree in a quantitative field such as computer science, mathematics, statistics, or physics is preferred.
Why Join Us?
This is the chance to join the founding team of a new fund, with industry leading technology provided. This is an equity only position to start, with potential for salary within the first quarter of 2026.
