Senior Product Analytics Manager, Parameta Solutions

TP ICAP; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global financial services firm in Greater London is seeking a Senior Product Analytics Manager. This role requires expertise in financial mathematics and advanced Python programming to drive product development through data analysis and machine learning techniques. The candidate will bridge product and engineering teams, providing insights and prototyping innovative solutions in financial markets data analytics. This position offers a unique opportunity for creative thinkers to influence product strategy in a fast-paced environment.

Qualifications

• Demonstrated background in financial mathematics with application to derivative pricing models.
• Advanced Python proficiency for data analysis, modeling, and prototyping.
• Experience in building and calibrating pricing models for OTC derivatives.

Responsibilities

• Partner with product managers to design data-driven products.
• Bridge between engineering and product teams for technical solutions.
• Provide actionable feedback on product feasibility and strategy.

Skills

Financial mathematics

Python programming

Data analysis

Machine learning techniques

Communication skills

Education

Postgraduate qualification in a technical discipline

Tools

AWS

Azure

Snowflake

Job description

Role Overview

We are seeking a highly skilled and versatile Senior Product Analytics Manager to join our Product Analytics function within Parameta Solutions. This role combines advanced quantitative knowledge, data science, data engineering, and business analysis to accelerate product development through rapid prototyping and data exploration.

You will act as a central point of contact for Parameta’s Product Management, Engineering, and Development teams and play a critical role in designing and validating data-driven products and tools across multiple asset classes. This is a unique opportunity to apply both technical and strategic thinking to support innovation in financial markets data.

Role Responsibilities

• Partner with Product Managers across various domains—OTC financial market data, Benchmarks & Indices, Risk & Regulatory Solutions, and Trading Analytics to design and prototype data-driven products.
• Act as a bridge between Product, Engineering, and Development teams, helping translate business requirements into technical solutions.
• Provide actionable feedback on product feasibility, technical design, and data requirements to drive product strategy and execution.
• Support sales and commercial teams by identifying new product opportunities, including sourcing and leveraging internal and external datasets.
• Collaborate with TP ICAP’s Quantitative Analytics team to research and prototype models requiring deep pricing expertise.
• Act as a “data hunter”—locating and integrating valuable data sources, including transactional and indicative data, across internal platforms and third‑party systems.
• Communicate complex quantitative and data science concepts clearly to both technical and non‑technical stakeholders.
• Serve as a subject matter expert on advanced data workflows and analytics solutions relevant to capital markets and energy / commodity sectors.
• Stay current with industry innovations in data science, machine learning, and quantitative analytics.

Experience / Competencies

Essential

• Demonstrated background in financial mathematics with the ability to apply standard derivative pricing models.
• Advanced programming proficiency in Python for data analysis, modelling, and prototyping.
• Solid experience in building and calibrating indicative pricing models for OTC derivatives and cash instruments (e.g. interest rate swaps, FX options, credit derivatives, fixed income).
• In‑depth knowledge of OTC and cash market instruments, including market conventions, risk management, and pricing methodologies—especially in Interest Rates, FX, Credit, and Energy.
• Ability to manipulate and extract insights from structured data formats (e.g. JSON), including rebuilding order books and analysing trade‑level messages.
• Practical experience in applying machine learning techniques to financial datasets and problems.
• Demonstrated experience in writing technical documentation and working within Agile frameworks (e.g. Scrum or Kanban).
• Ability to communicate technical findings clearly through presentations, reports, and discussions with non‑technical stakeholders.
• Entrepreneurial mindset with the ability to work independently in a fast‑paced, commercially driven environment.

Desired

• Familiarity with order book reconstruction from tick or transactional data across asset classes.
• Experience working directly with sales, trading, or compliance stakeholders in a product or analytics capacity.
• Exposure to data products hosted on cloud‑based platforms (e.g. AWS, Azure, Snowflake).
• Knowledge of real‑time and historical market data processing pipelines.
• Experience in the development of dashboards, APIs, or analytical front ends for internal or client use.
• Understanding of regulatory use cases such as FRTB, EMIR, or MiFID II.
• Experience collaborating with quant developers or financial engineers to industrialise prototype models.
• Postgraduate qualification in a technical discipline such as Financial Engineering, Mathematics, Data Science, Computer Science, or Physics.

Job Band & Level

Manager / 6