Machine Learning and Quant Engineer - London

• 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.

The Role, In Plain English

• 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.

What You’ll Be Responsible For

• Develop models using structured financial time series
• 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

What “Good” Looks Like in This Role

• 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.

Who You Are (Must-Haves)

• 5 plus years experience in quant, ML, or financial modeling
• Strong Python skills
• Startup experience on core systems
• Investment domain knowledge
• AI-assisted coding experience

Nice-to-Haves (Not Deal Breakers)

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

How We Work

• In-office team with high trust and high ownership
• Direct communication, minimal process, strong opinions backed by data
• Engineers are expected to think about product impact, not just code
• We move fast when it matters and slow down when correctness matters more

Why This Role Is Worth Your Time

• Direct influence on how professional investors make decisions
• Hard problems at the edge of AI, data, and finance
• Real ownership and technical autonomy
• Senior peers who care about quality and outcomes

Compensation & Practicalities

• Base salary: £110,000 to £200,000 depending on experience
• Equity included
• In-office role based in London
• No agency candidates

Salary Range

£110,000 — £200,000 GBP