Model jobs in United Kingdom

Location: Hybrid (London or Remote – UK/EU)
Reports to: Head of Product
Type: Full-Time

We’re building next-generation simulation and AI products for financial institutions that bridge agent-based modeling, reinforcement learning, and market microstructure analytics. Our products empower analysts, portfolio managers, and risk teams to test strategies, optimize execution, and model systemic behavior before it happens in the real world.

We’re seeking a Product Analyst with strong financial domain expertise. Ideally someone who’s worked as an equity analyst, quant researcher, or fintech product specialist, to help shape the future of data-driven financial intelligence.

The Product Analyst will partner closely with the Head of Product to define, validate, and optimize features for our suite of financial simulation and AI products. This role sits at the intersection of finance, data science, and product strategy, translating complex quantitative models and market workflows into intuitive, high-impact product experiences.

• Collaborate with the Head of Product to define product requirements, user stories, and acceptance criteria for financial AI/simulation products.
• Conduct in-depth market, customer, and competitive research across financial services, focusing on portfolio management, risk, and trading workflows.
• Partner with engineering and data science teams to translate financial models into product features and visual analytics.
• Analyze quantitative and qualitative user data to identify opportunities for product improvement and new feature development.
• Support the design of data schemas, metrics dashboards, and validation frameworks for financial simulations and model outputs.
• Assist in customer demos, training sessions, and beta feedback loops with banks, funds, and exchanges.
• Maintain documentation of product requirements, release notes, and competitive positioning.
• Serve as a subject-matter expert on capital markets, with a focus on equities, derivatives, and multi-asset modeling.

• 1-3 years of experience in a financial or fintech environment.
• Prior experience as an Equity Analyst, or Fintech Product Analyst.
• Understanding of market data, fundamental/quant factor models, and execution analytics.
• Comfort with AI/ML concepts (Gen AI, reinforcement learning, agent-based modeling, NLP, or time-series prediction).
• Strong analytical and communication skills—able to translate technical complexity into clear insights for executives and clients.
• Experience working cross-functionally with engineering, product, and commercial teams.

• Experience in product discovery or user research in financial services.
• Background with sell-side/buy-side workflows, trade lifecycle, and risk management systems.
• Familiarity with simulation or scenario analysis tools (Monte Carlo, stress testing, digital twins, etc.).
• Exposure to Python-based analytics stacks, or willingness to learn.

• Opportunity to shape frontier AI-simulation products used by top financial institutions.
• Close collaboration with a world-class product and engineering team.
• Flexible remote/hybrid work setup.
• Competitive compensation with equity potential.