Intropic

Self-service data mesh for capital markets

Research Analyst - MSCI

Equity & Credit ResearchConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

Strong interest in finance and capital markets.
Experience with Python (Pandas) and Excel.
Strong analytical mindset and high attention to detail.
Comfort working under time pressure with incomplete information.
Proactive approach and initiative to drive improvements.
Clear written communication, structured thinking, and ability to prioritize signal over noise.

Responsibilities

Track and analyze market-moving corporate events, including mergers and acquisitions and initial public offerings, as well as public company news.
Extract key information from primary public sources, including company announcements, regulatory filings, and investor materials.
Validate the inputs and outputs of automated models to ensure forecasts are accurate.
Write research reports and content notes that help clients extract more value from forecasts.
Communicate directly with clients to help them better understand the research.
Contribute to ongoing improvement of research processes and data quality.

Desired Qualifications

Experience with Python object-oriented programming.
Familiarity with regulatory filings and primary-source research.
Prior exposure to research, investing, or event-driven market analysis.
Knowledge of multiple spoken languages.

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.

About the Company

Intropic

Self-service data mesh for capital markets

Intropic builds a data refinery and infrastructure platform for capital markets. The core product is a self-service, decentralized data mesh that lets financial teams clean, connect, and model data from multiple sources without relying on centralized data engineering. It enables users to structure information, incorporate domain knowledge, and blend in proprietary data, with features like customizable dashboards and agent-based simulations that simulate data workflows as if the team had its own data engineers. Intropic serves hedge funds, asset managers, prop traders, banks, and sovereign wealth funds, and is known for its Index Rebalance Forecasts used to manage risk and large rebalance flows. The company monetizes by delivering its data products and infrastructure as a service. Its goal is to reduce data fragmentation and bottlenecks for financial institutions, enabling faster, more informed investment decisions by turning scattered data into a coherent, usable data fabric.

Company size: 51-200
Company stage: Series A
Total funding: $24.6M
Headquarters: London, United Kingdom
Founded: 2018

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