At a Glance
- Tasks: Lead product development for analytics, solving client challenges with innovative solutions.
- Company: Join Cassini, a leading provider of analytics tools in the derivatives industry.
- Benefits: Competitive salary, dynamic work environment, and opportunities for continuous learning.
- Other info: Collaborative team culture with global reach and excellent career growth potential.
- Why this job: Make a real impact in finance by optimising liquidity risk management with cutting-edge technology.
- Qualifications: Experience in margin and collateral analytics, strong communication skills, and familiarity with agile workflows.
The predicted salary is between 59400 - 72600 £ per year.
Summary
The Product Manager, Analytics will be a credible, experienced product professional with excellent communication skills.
They should have strong knowledge of margin and collateral analytics, with a focus on advanced optimisation, stress testing and forecasting analytics, and a keen interest in how clients use these tools across the derivatives trade lifecycle.
They will decide what problem the Analytics team solves, for whom and why, collaborating closely with engineers, internal teams and clients.
The Analytics area covers margin optimisation, margin attribution, collateral analytics and optimisation, variation margin forecasting, stress testing and the limits engine.
The Product Manager, Analytics will report to the Head of Product.
Full Time - London
About us
Step into the future with Cassini - Founded in 2014, we are the established, core utility providerof analytics and optimization tools built for the derivatives industry.
From London to New York, Sydney to Singapore, 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.
What sets us apart?
- Recognised as 'Best Derivatives Tech Provider' and 'Analytics Leader'
- Global impactwith a rapidly expanding footprint
- Analytics provider to the largest asset managers in the world
- Enterprise-grade security(ISO 27001 & SOC-2)
- Seamless integrationwith 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.
Role
Product
- 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.
Client-Facing
- 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.
- Tech Stack
We work with an exciting, modern stack built for scale, reliability, and productivity.
To be successful in this role, you'll need solid experience with some of the core tools, platforms, and technologies we work with:
- Jira, Confluence and the agile workflow
- Figma, Lucid and other wireframing tools
- Generative AI tools
- A basic understanding of our technology stack is also helpful, although not essential:
- SQL databases
- AWS infrastructure
- Python
- APIs / SFTP
- Required Qualifications, Skills & Experience;
A successful candidate will have the following
- 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.
- Preferred Qualifications, Skills & Experience;
- Experience of Repo, Stock Borrow Lend or other financing solutions
- Understanding of margin models and optimisation algorithms
- Knowledge of the buy-side or sell-side’s operating processes
- Experience using and defining API endpoints
- Good understanding of data modelling and experience defining new data models
- Some Python or VBA coding experience
- Demonstrable experience using AI tools to fast-track tasks, automate processes and solve problems
Product Manager, Analytics in London employer: Cassini Systems
At Cassini, we pride ourselves on being an exceptional employer in the financial services sector, offering a dynamic work environment that fosters collaboration and innovation. Our London-based team enjoys a culture of continuous learning, with ample opportunities for professional growth and development, while working on cutting-edge technology that shapes the future of liquidity risk management. With a strong focus on employee empowerment and a commitment to excellence, we ensure that our staff are not only challenged but also supported in reaching their full potential.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Analytics in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Cassini Systems!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Cassini Systems would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Cassini Systems through your school's career services!
We think you need these skills to ace Product Manager, Analytics in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Analytics, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Analytics position at Cassini Systems. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Cassini Systems
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
