Associate Derivatives Product Manager, Parameta Solutions

Overview

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.

About Parameta Solutions

Parameta Solutions is the Data & Analytics division of TP ICAP Group. The business provides clients with unbiased OTC content and proprietary data, in-depth insights across price discovery, risk management, benchmark and indices, and pre and post-trade analytics. Its post-trade solutions offering helps market participants control their counterparty and regulatory risks through a growing range of tools that manage balance-sheet exposure, as well as compression and optimisation services. The Data & Analytics division includes the following brands: Tullett Prebon Information, PVM Data Services, ICAP Information and Burton-Taylor Consulting.

Role Overview

This role sits within Parameta Solutions’ global Capital Markets Data Product function and focuses on identifying, developing, and enhancing data opportunities arising from TP ICAP’s Global Broking activities and third-party sources. The position requires strong quantitative skills and intermediate subject matter expertise in interest rates and credit OTC derivatives, with the ability to analyse data, engage with quant teams, and contribute meaningfully to product development. The Associate will take ownership of key product workstreams, performing detailed quantitative evaluations of broking and third-party data, creating data visualisations, and supporting competitive analysis to articulate the value of Parameta Solutions’ datasets. The role involves supporting the execution of product strategy and contributing to roadmap planning in partnership with Technology, Sales, Marketing, Analytics, and Quant teams. The individual will assist in market research, business case development, product lifecycle management, and client-facing discussions. Additional responsibilities include contributing SME input to sales teams, helping shape data methodologies, and supporting industry engagement activities such as webinars and events.

Role Responsibilities

• Support ownership of the data product by contributing to its strategic direction and taking responsibility for portions of roadmap execution.
• Support global product development initiatives for new data opportunities arising from Global Broking activities and third-parties, helping drive workstreams with greater autonomy.
• Assist in developing objectives and strategies for current and future data products, contributing quantitative and commercial insights to support revenue growth.
• Develop intermediate SME capabilities for OTC derivatives including fixed income, rates, and credit derivative data, with strong focus on quantitative methodology and analytics.
• Coordinate and support the procurement, quantitative evaluation, and accurate publication of data from broking desks and third-parties via Parameta Solutions, helping ensure data is consistent and analytically validated.
• Contribute to market analysis, competitive quantitative research, and the development of business cases for new data products, including structured benchmarking against competitor datasets.
• Support product lifecycle activities, helping guide enhancements from ideation through development and launch.
• Collaborate with Technology, Operations, Sales, Client Services, and Analytics to ensure successful project implementation.
• Engage with internal stakeholders and clients to gather feedback, identify opportunities to improve data content, and present quantitative findings, charts, and visualisations clearly.
• Support the creation and documentation of new data methodologies and contribute to quantitative research for new business initiatives, working alongside Analytics and Quant teams.
• Build and maintain strong relationships with Global Broking teams and other key internal partners, with increased depth of engagement including broking management and quant desks.
• Support marketing activities such as preparing analytically-driven product materials, producing high-quality charts and visualisations, contributing to newsletters, and assisting at conferences.

Experience / Competences

Essential

• Proven exposure to financial markets or market data with an understanding of how OTC instruments and datasets are used by end-clients.
• Advanced quantitative skills with experience analysing large datasets, building visualisations, and performing comparative analytics.
• Ability to use analytical or technical tools (e.g., Excel, Python, SQL, Power BI/Tableau) to extract insights and validate data.
• Ability to work independently, run workstreams, and contribute proactively to product design and solutions.
• Demonstrated analytical skills with the ability to interpret time-series data, perform numerical validation, and identify actionable insights.
• Excellent communication skills, including the ability to translate complex quantitative results for varied audiences.
• Proven organisational skills and ability to manage multiple parallel workstreams and deadlines.
• Ability to convert ideas into structured requirements and produce clear functional specifications.

Desired

• Degree in a quantitative discipline or Computer Science (e.g., Mathematics, Statistics, Engineering, Physics, Economics, Computer Science).
• Commercially minded with an interest in derivatives, market structure, and data innovation.
• Experience collaborating with cross-functional teams including Quant, Technology, Analytics, and Broking.
• Comfortable engaging with clients or presenting data-driven insights in industry settings.
• Demonstrated problem-solving skills and attention to detail in numerical and analytical outputs.
• Ability to identify data gaps, assess market opportunities, and contribute to revenue initiatives.
• Credible communicator with the ability to build strong relationships across the organisation.

Location UK - 135 Bishopsgate - London