The TP ICAP Group is a world leading provider of market infrastructure.
Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.
Through our people and technology, we connect clients to superior liquidity and data solutions.
The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.
Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.
Role Overview
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.
Experience / Competences
Essential
- 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).
