Full-Time
Quantitative Analyst
Client Solutions
Intropic
51-200 employees
Self-service data mesh for capital markets
No salary listed
London, UK
In Person
Bachelor's, Master's
 Quantitative Finance |
|---|
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- Strong working proficiency in Python, particularly Pandas, with comfort using Jupyter notebooks and hands-on data science project experience.
- A Bachelor's or Master's degree in a STEM subject, with a solid quantitative foundation built through study and/or work experience.
- Genuine interest in finance and capital markets, with the ability to learn new concepts quickly.
- Excellent written communication, including the ability to explain technical results clearly to sophisticated audiences and produce publishable research.
- Meticulous attention to detail and sound judgment when working under time pressure or with incomplete information.
- Help clients translate the company's data into strategies, including portfolio construction, backtesting approaches, signal generation, and converting raw forecasts into tradeable outputs.
- Serve as a primary technical point of contact for quantitative clients, answering questions about data quality, methodology, coverage, and use of the datasets.
- Write and publish research articles, data notes, and worked examples demonstrating the value of the data to a technical audience.
- Build reproducible examples and analyses in Python to support and illustrate the research process.
- Investigate and resolve data-related issues raised by clients, collaborating with research and engineering teams.
- Bring client feedback to product and research teams to help shape their priorities.
- Experience in quantitative finance through a sales, trading, or research role.
- Familiarity with index methodologies such as MSCI, S&P, and FTSE, as well as passive fund mechanics.
- Active use of GitHub and version control, with exposure to backtesting or research frameworks.
- Prior familiarity with SQL and navigating large datasets across platforms.
- Prior experience in a client-facing, research, data science, or sales-engineering role at a financial data or trading firm.
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
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2018
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See people who can refer or advise you
Simplify's Take
What believers are saying
- February 2026 hiring accelerated: backend, data engineer, and research roles all opened.
- Portage's August 2026 client-solutions job confirms systematic-client demand for event-driven datasets.
- Intropic's 2026 research on SpaceX IPO flows demonstrates timely, differentiated market coverage.
What critics are saying
- The company depends on niche financial data products; a failed dataset refresh kills renewals.
- Open hiring across engineering and client solutions signals execution strain if fundraising stalls.
- Intropic faces direct competition from Bloomberg, Refinitiv, and in-house quant teams.
What makes Intropic unique
- Canary Wharf-based Intropic pairs market expertise with AI for financial intelligence.
- Its event-driven datasets and research notes target systematic clients, not generic enterprise buyers.
- The July 2026 research hub and mobile app show product breadth across workflows.
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Benefits
Private Health Insurance
Stock Options
401(k) Retirement Plan
Remote Work Options
Hybrid Work Options
Paid Vacation
Paid Sick Leave
Paid Holidays
Wellness Program
Mental Health Support
Phone/Internet Stipend
Home Office Stipend
Conference Attendance Budget
Professional Development Budget
Family Planning Benefits
Fertility Treatment Support
Company Equity
Student Loan Assistance
Parental Leave
Adoption Assistance
Pet Insurance
Relocation Assistance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Gym Membership
Commuter Benefits
Meal Benefits
Professional Certification Support
Tuition Reimbursement
Training Programs
Mentorship Program
Employee Discounts
Employee Referral Bonus
Performance Bonus
Profit Sharing
Educational Allowance
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↓ -2%Most startups want to shout as loud as possible about their latest fundraising deal. But a whole lot of deals also go entirely unannounced.