Associate Product Manager EMEA, Parameta Solutions

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 work streams, 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, assisting in market research, business case development, product lifecycle management, and client‑facing discussions.

• 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 work streams 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.

• 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 work streams, 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 work streams and deadlines.
• Ability to convert ideas into structured requirements and produce clear functional specifications.
• Desired:
  Degree in a quantitative discipline or Computer Science…