Machine Learning and Quant Engineer
Reflexivity
Machine Learning and Quant Engineer
Reflexivity
AI-driven market-screening analytics platform for investors
You think in time series, signals, and regimes.
You care about insight quality, not academic purity.
You want your models tested by markets, not papers.
If you dislike messy data and real-world constraints, this is not your role.
You will build quantitative and ML-driven insight systems using structured time series data.
This role exists to turn raw financial data into actionable investor signals.
You will work closely with engineers to productionize quant logic.
After 3 months:
Shipping signals used internally.
After 6 months:
Signals used by customers.
After 12 months:
You shape how quant insights are built at Reflexivity.
Salary Range 110000 - 200000 GBP
AI-driven market-screening analytics platform for investors
Toggle.ai provides an AI-powered analytics platform for quick market screening, with TOGGLE Scenario letting users test different market scenarios without coding. It makes complex analysis easy for both experienced traders and beginners through an accessible interface and an integrated suite of content, including a daily market brief, investing lessons, and a blog. The company partners with Interactive Brokers to offer cost-effective trading, with Toggle.ai covering IBKR commissions. Its goal is to democratize access to advanced trading tools so a broad audience can improve their investment decision-making.
Explore more opportunities at Reflexivity