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Reflexivity

AI-driven market-screening analytics platform for investors

Machine Learning and Quant Engineer

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least five years of experience in quantitative work, machine learning, or financial modeling.
  • Strong Python skills.
  • Startup experience working on core systems.
  • Investment domain knowledge.
  • Experience with AI-assisted coding.

Responsibilities

  • Develop models using structured financial time-series data.
  • Build insight-generation and scenario-analysis pipelines.
  • Collaborate with backend engineers to deploy models in production.
  • Evaluate signals based on real investor outcomes.
  • Improve attribution and explainability.
  • Ship signals for internal use within three months and customer use within six months.
  • Shape how quantitative insights are built within 12 months.

Desired Qualifications

  • Prior buy-side or sell-side experience.
  • Experience with alternative data.

About the Company

Reflexivity

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.

Company size
51-200
Company stage
Series B
Total funding
$45.8M
Headquarters
New York City, New York
Founded
2019

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