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# Quant Analyst - 5 months Fixed Term Contract

- **Company:** TP ICAP
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Big Data, Computer Programming, Python (Programming Language), Regression Analysis, Backtesting
- **Published:** July 11, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=bec4a584ca2ad157

## About the Role

* Proven ability with quantitative analysis, performance attribution, correlation modelling or quantitative research.
 * Strong knowledge of statistics, time series analysis and regression methods.
 * Good understanding of financial markets, market microstructure and financial instruments, including derivatives where relevant.
 * Strong programming skills in Python or similar quantitative languages.
 * Experience working with large datasets and analytical libraries.
 * Ability to translate complex quantitative outputs into clear commercial recommendations.
 * Strong problem-solving skills, attention to detail and effective stakeholder management.

Desired

 * Experience sourcing and working with financial market data (e.g. Bloomberg, Refinitiv/LSEG or equivalent).

Band and level: Professional, 4

#LI-ENT #LI-Hybrid

## Description

This is a newly created Quant Analyst opportunity based in our London office, where we are seeking a driven graduate to support the Global Broking Alpha/Beta initiative, building a model that correlates market benchmarks and indicators to desk-level revenue performance to identify the drivers behind revenue changes.

As a Quant analyst you will combine strong mathematical and statistical capability with programming expertise and an understanding of financial products and market behaviour.

Role Responsibilities

 * Gather, clean and structure historic data sets across asset classes (Rates, FX, Credit, Equities).
 * Perform statistical analysis on large and complex datasets to identify trends, relationships and model inputs.
 * Conduct correlation and regression analysis to assess the relationship between desk revenues and market conditions and internally driven factors.
 * Source and integrate external market data including major indices, macro indicators and published market volumes.
 * Validate model performance through back-testing, stress testing and sensitivity analysis.
 * Document model assumptions, methodologies, limitations and controls in line with governance requirements.
 * Monitor model performance and recommend enhancements in response to market developments and business needs.
 * Present findings and quantitative insights clearly to both technical and non-technical stakeholders.


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