Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports, communicate findings to clients, and improve research processes and data quality. The role requires finance and capital markets interest, Python and Excel experience, strong analytical and written communication skills, attention to detail, and the ability to prioritize effectively under time pressure.
At Intropic, we’re building the future of financial intelligence, where deep market expertise meets the power of AI. Founded in London’s financial centre of Canary Wharf, we exist to transform complex data into clarity, precision, and action. Our culture is shaped by truth-seeking, velocity, and ownership, values that drive how we build, learn, and collaborate every day. We move fast, think independently, and hold ourselves to the highest standards of integrity and impact. Here, curiosity isn’t just encouraged, it’s essential. If you’re driven by challenge, inspired by innovation, and ready to amplify your intelligence alongside a team of exceptional thinkers, Intropic is where your ideas can truly compound.
Responsibilities
- Track and analyse market-moving corporate events (M&A, IPOs) and public company news.
- Extract key information from primary public sources (company announcements, regulatory filings, investor materials).
- Validating the input/output of automated models to ensure forecasts are accurate.
- Writing research reports & content notes that help clients extract more value from our forecasts.
- Communicating directly with our clients to help them better understand our research.
- Contribute to ongoing improvement of research processes and data quality.
Requirements - Must have
Strong interest in finance and capital markets.
Experience with Python (Pandas)/ Excel
Strong analytical mindset and high attention to detail.
Comfortable working under time pressure with incomplete information.
- Proactive and takes initiative to drive improvements
Clear written communication, structured thinking, and ability to prioritise signal over noise
Requirements - Nice to have
Experience with Python (OOP)
Familiarity with regulatory filings and primary-source research.
- Prior exposure to research, investing, or event-driven market analysis.
Knowing multiple spoken languages.
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