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About the Role

The Product Manager, Analytics will own the product roadmap for the Analytics area, deciding the order of work, which problems the team solves, for which clients and why, and what is out of scope. This role involves writing clear requirements, collaborating with engineers, and exploring new ideas using AI tools. The Product Manager will also assess the commercial impact of features and maintain up-to-date documentation. Additionally, they will explain analytics module behavior to internal teams and clients, and identify client challenges to translate into future solutions.

Responsibilities

Own the product roadmap for the Analytics area and decide the order of work within it.
Decide which problems the team solves, for which clients and why, and what is out of scope.
Write clear requirements for each feature: the problem, who has it and what success looks like.
Agree each specification with engineers, business analysts and test engineers before build starts, and confirm that the finished feature meets the original intent.
Explore new or unclear ideas using AI tools before they go to the engineering team.
Assess the commercial impact of each feature, and flag when a change creates a new module or changes an existing one.
Keep documentation of what the Analytics modules cover up to date.
Work with the Market Data team early to confirm the data that new features need.
Explain how the analytics modules behave, in plain words, to Relationship Managers, Sales and Support.
Hold a regular weekly slot for support questions, and help Support classify and resolve issues in the Analytics area.
Identify client challenges and translate them into potential future Cassini solutions.

Requirements

Sound knowledge of collateral and margin analytics, including optimisation algorithms.
Experience with derivatives margin and collateral, such as SIMM, SPAN or clearing house margin (preferred).
Experience with AI-assisted development or specification-led delivery (preferred).
Working knowledge of Jira, Confluence and agile workflow.
Working knowledge of generative AI tools, including Claude and Cursor.
Working knowledge of APIs, databases and SFTPs.
Experience of Repo, Stock Borrow Lend or other financing solutions (preferred).
Understanding of margin models and optimisation algorithms (preferred).
Knowledge of the buy-side or sell-side’s operating processes (preferred).
Experience using and defining API endpoints (preferred).
Good understanding of data modelling and experience defining new data models (preferred).
Some Python or VBA coding experience (preferred).
Demonstrable experience using AI tools to fast-track tasks, automate processes and solve problems (preferred).

Skills

Jira
Confluence
Agile workflow
Figma
Lucid
Wireframing tools
Generative AI tools
SQL databases
AWS infrastructure
Python
APIs
SFTP
Collateral analytics
Margin analytics
Optimisation algorithms
Derivatives margin
Derivatives collateral
SIMM
SPAN
Clearing house margin
AI-assisted development
Specification-led delivery
Claude
Cursor
Repo
Stock Borrow Lend
Financing solutions
Margin models
Data modelling
API endpoints
VBA coding

Location

London

Work Type

Full Time
Onsite

Experience Level

Credible, experienced product professional

About the Company

Founded in 2014, Cassini is the established, core utility provider of analytics and optimization tools built for the derivatives industry.
Hedge funds, asset managers, and banks worldwide rely on our solutions.
Our award-winning platform empowers clients to reduce margin, optimize collateral, and enhance their liquidity risk framework, delivering real-time, front-to-back analytics on the full cost of derivatives trading.
Recognised as 'Best Derivatives Tech Provider' and 'Analytics Leader’.
Global impact with a rapidly expanding footprint.
Analytics provider to the largest asset managers in the world.
Enterprise-grade security (ISO 27001 & SOC-2).
Seamless integration with OMS, EMS, and collateral systems.
At Cassini, our client focus drives everything we do.
We’re a collaborative, energetic team transforming how the financial world manages their liquidity risk.
With challenging projects, continuous learning opportunities, and cutting-edge technology, we empower our employees to grow their skills and reach their full potential every day.