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For Companies At a Glance
- Tasks: Lead product analytics and collaborate on innovative data-driven solutions.
- Company: Join Parameta Solutions, a dynamic division of TP ICAP Group.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make an impact in financial markets with cutting-edge data science and analytics.
- Qualifications: Strong background in financial mathematics and advanced Python programming skills.
- Other info: Fast-paced environment with opportunities to work on diverse projects.
The predicted salary is between 48000 - 84000 £ per year.
We are seeking a highly skilled and versatile Senior Product Analytics Manager to join Parameta Solutions, the Data & Analytics division of the TP ICAP Group. The 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.
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 Details
- Job Band & Level: Manager / 6
- Location: UK - 135 Bishopsgate - London
- Employment type: Full-time
- Seniority level: Mid-Senior level
- Job function: Research, Analyst, and Information Technology
Senior Product Analytics Manager, Parameta Solutions in London employer: Parameta Solutions
Contact Detail:
Parameta Solutions 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
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and programming prowess. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to product analytics. We all know that confidence is key, so get comfortable talking about your experience and how it relates to the role.
✨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 is tailored to the Senior Product Analytics Manager role. Highlight your experience in financial mathematics, data analysis, and any relevant programming skills, especially in Python. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed or prototyped data-driven products. This is your chance to shine! We love seeing how you've applied your skills in real-world scenarios, especially in the financial sector.
Be Clear and Concise: When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts, as you'll need to communicate effectively with both technical and non-technical stakeholders. We appreciate clarity!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Parameta Solutions
✨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 hit the ground running.
✨Show Off Your Coding Skills
Make sure you're comfortable with Python, as it's crucial for data analysis and modelling in this role. Prepare to demonstrate your programming proficiency by discussing past projects or even solving a coding challenge during the interview.
✨Bridge the Gap
Since you'll be acting as a liaison between Product, Engineering, and Development teams, think of examples where you've successfully translated business requirements into technical solutions. Highlight your communication skills and ability to work collaboratively across different teams.
✨Stay Ahead of the Game
Familiarise yourself with the latest trends in data science and machine learning, particularly as they relate to financial datasets. Being able to discuss recent innovations or case studies will demonstrate your passion for the field and your commitment to staying current.
