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For Companies At a Glance
- Tasks: Lead product analytics to innovate financial market data solutions and collaborate with cross-functional teams.
- Company: Join Parameta Solutions, a leader in financial data innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in financial markets while utilising advanced data science techniques.
- Qualifications: Strong background in financial mathematics and programming skills in Python.
- Other info: Dynamic role with exposure to cutting-edge technologies and industry innovations.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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
Senior Product Analytics Manager, Parameta Solutions in London employer: TP ICAP
Contact Detail:
TP ICAP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Analytics Manager, Parameta Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product analytics. We recommend using the STAR method to structure your answers—it's a game changer!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your data projects, especially those relevant to financial markets. This will help you stand out and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Product Analytics Manager, Parameta Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Product Analytics Manager role. Highlight your background in financial mathematics, programming in Python, and any relevant experience with data-driven products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've partnered with product teams or translated business requirements into technical solutions in the past.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with machine learning techniques, data workflows, and any tools you’ve used in building pricing models or dashboards.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Parameta Solutions!
How to prepare for a job interview at TP ICAP
✨Know Your Numbers
Brush up on your financial mathematics and derivative pricing models. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in OTC derivatives and cash instruments. This will show that you can bridge the gap between technical and business requirements.
✨Showcase Your Technical Skills
Make sure you're comfortable with Python and can demonstrate your programming proficiency. Prepare examples of how you've used Python for data analysis and modelling, particularly in financial contexts. This will highlight your ability to prototype data-driven products effectively.
✨Communicate Clearly
Practice explaining complex quantitative concepts in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to break down your findings will be crucial. Consider preparing a few key points or examples to illustrate your communication skills.
✨Stay Current with Industry Trends
Familiarise yourself with the latest innovations in data science and machine learning, especially as they relate to financial markets. Being able to discuss recent developments or tools you've explored will demonstrate your entrepreneurial mindset and commitment to staying ahead in a fast-paced environment.
