At a Glance
- Tasks: Lead the TCA and Best Execution platform, collaborating with clients and teams to enhance analytics.
- Company: Join ISS STOXX LiquidMetrix, a leader in financial data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on cutting-edge technology and analytics.
- Why this job: Make a real impact in finance by driving innovative product development.
- Qualifications: Experience in product ownership and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
ISS STOXX LiquidMetrix seeks a TCA Product Owner in London to bridge clients, internal stakeholders and engineering teams, focusing on data, design and QA for the TCA and Best Execution platform. The role emphasizes collaboration across compliance, technology, and data teams to enhance model-driven surveillance and analytics.
You will drive requirements, ensure quality, and support calibrations, testing, and training initiatives while guiding product roadmap decisions and stakeholder.
TCA & Best Execution Product Owner (London) employer: ISS LiquidMetrix
At ISS STOXX LiquidMetrix, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. Located in the vibrant city of London, we offer a dynamic work culture that fosters collaboration and innovation, alongside comprehensive benefits that support both personal and professional development. Join us to be part of a forward-thinking team where your contributions are valued, and you can thrive in a fast-paced environment while working with cutting-edge financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land TCA & Best Execution Product Owner (London)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace TCA & Best Execution Product Owner (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at ISS LiquidMetrix, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ISS LiquidMetrix. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ISS LiquidMetrix
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
